WO2022173044A1 - Information processing device - Google Patents
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- WO2022173044A1 WO2022173044A1 PCT/JP2022/005719 JP2022005719W WO2022173044A1 WO 2022173044 A1 WO2022173044 A1 WO 2022173044A1 JP 2022005719 W JP2022005719 W JP 2022005719W WO 2022173044 A1 WO2022173044 A1 WO 2022173044A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/18—Legal services
Definitions
- the present invention relates to an information processing device.
- Patent Literature 1 proposes a technique for making proposals for attendees of a newly held conference based on the contents of remarks of attendees at the held conference and the theme of the newly held conference. ing.
- the present invention was made in view of this situation, and aims to streamline the process from discovering inventions to filing patent applications by revitalizing conferences on discovering inventions.
- an information processing device includes: theme acquisition means for acquiring, as theme information, information indicating a theme for realizing a predetermined target; theme analysis means for analyzing the theme information; function presenting means for presenting candidates for one or more functional elements that may be necessary for realizing the predetermined object, based on the results of the analysis; Prepare.
- FIG. 1 is a diagram showing an overview of this service that can be realized by an information processing system to which a server according to an embodiment of the invention is applied;
- FIG. FIG. 2 is a diagram showing an overview of a function presentation service among the services;
- FIG. 4 is a diagram showing an outline of an extraction condition presentation service among the services; It is a figure which shows the outline
- FIG. 2 is a diagram showing an outline of a person-in-charge allocation service among these services; It is a figure showing an example of composition of an information processing system to which a server concerning one embodiment of the present invention is applied.
- FIG. 8 is a block diagram showing an example of a hardware configuration of a server in the information processing system shown in FIG. 7; FIG. Of the functional configuration of the server shown in FIG. 8 that constitutes the information processing system shown in FIG. It is a functional block diagram which shows an example of the functional structure for execution.
- this service a service (hereinafter referred to as "this service") that can be realized by an information processing system (see FIG. 7 described later) to which a server 1 according to an embodiment of the present invention is applied. (called) will be described.
- FIGS. 1 to 6 are diagrams showing an overview of this service that can be realized by an information processing system to which a server according to one embodiment of the present invention is applied.
- FIG. 1 shows a so-called remote development meeting M held at a certain company K.
- the development meeting M is an in-house meeting that is held periodically in order to realize the provision of a new service (hereinafter referred to as "new service") that has never existed before.
- new service a new service
- discovery of the invention I related to the new service and examination of obtaining the right (acquisition of the patent right) of the discovered invention I are conducted.
- attendees A1 to An use information processing devices 2-1 to 2-n such as personal computers (hereinafter referred to as "attendee terminals"). 2-1 through 2-n”).
- attendee terminals such as personal computers
- FIG. 1 it is assumed that attendees A1 to A5 are participating in a development conference M while operating attendee terminals 2-1 to 2-5, respectively.
- Attendees A1 to A5 are those who are directly or indirectly involved in the development of new services. Applicable.
- Dedicated application software for users of this service can be installed on each of the attendee terminals 2-1 to 2-5.
- attendees A1 to A5 can use this service by using attendee terminals 2-1 to 2-5 in which this application software is installed.
- Each of attendees A1 to A5 can also use this service by accessing a dedicated website for users of this service, which is displayed by the browser function of each of attendee terminals 2-1 to 2-5. can be used.
- attendee terminals 2 When there is no need to distinguish between the attendee terminals 2-1 to 2-n, they will be collectively referred to as "attendee terminals 2".
- the attendees A1 to An are collectively called "attendee A”.
- This service includes a function presentation service, an extraction condition presentation service, a question generation service, a contribution rate calculation service, and a person in charge assignment service.
- “Function presentation service” refers to a service that presents attendee A with candidates for one or more functions (hereinafter referred to as “functional elements") that can be elements for realizing the theme of development meeting M.
- “Extraction condition presentation service” is a service for presenting attendee A with information (hereinafter referred to as “extraction condition information”) for extracting information indicating prior art that may be related to the theme of development meeting M.
- extraction condition information information for extracting information indicating prior art that may be related to the theme of development meeting M.
- “Question generation service” refers to a service for generating questions for obtaining invention specifying information that is additionally required to specify inventions related to the theme of development meeting M.
- the “contribution rate calculation service” is a service for calculating the contribution rate of each speaker identified from the voice data of the development meeting M to the creation of invention I.
- Personnel allocation service refers to a service for allocating processes to persons in charge necessary for realizing the theme of the development meeting M according to the progress of the development meeting M.
- FIG. 2 shows an outline of the function presentation service among these services.
- the function presentation service candidates for one or more functional elements required to realize the theme of the development meeting M are presented. That is, during the progress of the development meeting M, candidates for one or more functional elements required to implement the new service of the company K are presented to the attendees A1 to A5 in real time.
- theme information information (hereinafter referred to as "theme information") indicating the theme of the development meeting M (the new service of the company K in the example of FIG. 2) is obtained (step S11).
- the format of theme information is not particularly limited, and keywords, sentences, categories, and the like can be used as theme information.
- keywords such as "MaaS”
- sentences such as “services that can be realized by using automobiles other than transportation”
- categories such as “transportation”, “general vehicles”, and “services”
- Examples include classification standards used for technical classification by public institutions.
- the theme information is acquired by being input to the attendee terminal 2 .
- the acquired theme information is analyzed (step S12).
- the method of analysis is not limited to time, and text mining or the like is performed for literature related to the acquired theme information, for example.
- Examples of “documents” include documents in which the contents of patent applications and utility model registration applications are published.
- the method of extracting the functional element F is not particularly limited.
- Redundancy refers to an index that indicates the amount of commonalities between two pieces of information that face each other. The greater the amount of commonalities, the higher the degree of redundancy, and the lesser the amount of commonalities, the lower the degree of redundancy.
- the method of presenting the candidates for the extracted functional element F is not particularly limited.
- a candidate for the functional element F may be presented together with the score obtained by normalizing the "redundancy” described above. Values such as “90%”, “88%”, and “65%” shown in FIG. 2 are all examples of scores.
- the attendees A1 to A5 of the development meeting M can dig deeper into each of the presented one or more functional elements, so it is easy to discover inventions that will realize the new service of the company K. become. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
- one or more functional elements are classified according to their content, stored in a database together with various information, and presented in real time. Specifically, for example, although not illustrated, functional elements extracted (scraped) from technologies described in published patent publications obtained as a result of prior art searches are visualized in the form of a so-called patent map. etc. are presented. These pieces of information are utilized as useful information when the attendees A1 to A5 of the development meeting M examine whether or not the invention to be discovered has a right (for example, a patent right).
- the attendee A inputs a character string "automatic driving" to the attendee terminal 2 as the theme information of the development meeting M.
- FIG. As a result, in step S ⁇ b>11 , the server 1 acquires the theme information of the development meeting M “automatic driving” from the attendee terminal 2 .
- step S12 the server 1 searches for patent documents based on the theme information of the development meeting M ("automatic driving"). Specifically, for example, the server 1 searches for patent documents using the keyword “automatic driving” in a predetermined database containing patent document data. Further, for example, the server 1 searches for patent documents in a predetermined database containing patent document data using patent classification codes (for example, FI/F terms) related to "automatic driving”. Then, the server 1 performs text mining processing on the patent documents extracted by the search.
- patent classification codes for example, FI/F terms
- the server 1 extracts words corresponding to functional elements from the words extracted as a result of the text mining process. Specifically, for example, as a result of the text mining process, one or more words integrated using a predetermined database (for example, a thesaurus or a thesaurus in which the relationships between superordinate concepts and subordinate concepts are organized). extracted. Note that this integration may be performed as part of the text mining process. Then, the server 1 extracts words and phrases used as functions and means for realizing automatic driving in the patent document, and assumes that they correspond to functional elements.
- a predetermined database for example, a thesaurus or a thesaurus in which the relationships between superordinate concepts and subordinate concepts are organized.
- the server 1 generates indices such as the number of appearances and the degree of importance for each of these functional elements by a predetermined method based on a plurality of patent documents extracted by searching. That is, for example, as the number of appearances, the sum of the number of appearances of the functional element in a plurality of patent documents may be employed. Further, for example, the number of patent documents in which the functional element appears may be used as the number of appearances. Further, for example, the degree of importance may be based on the number of appearances. Also, for example, if each functional element is a special technical feature in the patent document, the importance may be highly evaluated. Note that the number of appearances and the degree of importance may be generated (calculated) by a predetermined function combining the above examples. Also, the number of appearances and the degree of importance may be generated using an AI or the like learned by a predetermined learning algorithm.
- functional elements and their appearance counts and degrees of importance may be generated as a patent map. That is, for example, based on patent documents extracted by searching, a bubble chart of F-terms assigned to the patent documents is generated as a patent map.
- the server 1 presents the extracted functional elements to attendee A in the meeting in real time.
- the server 1 can simultaneously present the generated number of occurrences and importance as described above.
- the server 1 can preferentially present a functional element having a high number of appearances or a high degree of importance.
- a bubble chart of F-term assigned to the patent document is generated as a patent map based on the patent document extracted by the search, the attendant A is presented with the patent map.
- attendee A can grasp the degree of importance of each of the plurality of functional elements (percentage, etc., of which consideration is given in the literature).
- the server 1 can present functional elements to the attendee A in real time (during the meeting) based on the theme information of the development meeting M input to the attendee A during the meeting. That is, the attendee A is presented with the functional elements without spending time for the attendee A to search for documents or check the documents. This allows attendee A to go deeper into the functional elements during the meeting.
- FIG. 3 shows an outline of the extraction condition presentation service among these services.
- extraction condition information information (hereinafter referred to as "extraction condition information") for extracting information indicating prior art that may be related to the theme of the development meeting M is generated and presented.
- extraction condition information include keywords, search formulas, categories (for example, classification criteria used for technical classification by public institutions), and the like.
- extraction condition information for extracting information indicating prior art that may be related to the new service of the company K is generated.
- the theme information of the development meeting M is acquired (step S21). Specifically, information about the new service of company K is acquired as the theme information.
- the theme information is acquired by being input to the attendee terminal 2 .
- the acquired theme information is analyzed (step S22).
- the method of analysis is not particularly limited, and is the same as in the example of FIG. 2. For example, text mining of related documents is performed.
- extraction condition information Ip information Ip (hereinafter referred to as "extraction condition information Ip") indicating conditions for extracting information indicating prior art that may be related to the new service of Company K is generated. , is presented to attendees A1 to A5 in real time (step S23).
- the method of generating the extraction condition information Ip is not particularly limited.
- search expressions associated with various functional elements F are stored in advance in a predetermined database (for example, the extraction condition DB 185 in FIG. 9), and extracted from there.
- the search formula may be used as the extraction condition information Ip.
- the method of presenting the generated extraction condition information Ip to attendees A1 to A5 is not particularly limited.
- a search formula such as a combination of keywords and categories, that can be immediately searched in patent databases generally provided by government offices can be presented.
- the extraction condition information Ip can be generated and presented for each of the one or more extracted functional elements F. Specifically, for example, when four types of functional elements F are extracted, four types of extraction condition information Ip can be generated for each of the four types of functional elements F. .
- attendees A1 to A5 of the development meeting M can extract information indicating prior art based on the presented extraction condition information Ip.
- the extraction condition information Ip can also be presented as part of the results of the prior art search.
- step S ⁇ b>21 the server 1 acquires the theme information of the development meeting M, for example, “automatic driving” from the attendee terminal 2 .
- the method of acquiring the theme information of the development meeting M in the process of step S21 or step S11 of FIG. 2 may be as follows. That is, for example, the server 1 can acquire theme information based on information shared in the conference. That is, for example, the server 1 can analyze the data of materials shared in advance in the conference and acquire the theme information by text mining or the like.
- step S22 the server 1 analyzes the theme information. Analysis of the theme information may be the same as the process of step S12 in FIG. 2, or may be realized by other processes.
- step S23 the server 1 sets the extraction condition information Ip based on the analysis result in the process of step S22. That is, for example, the server 1 extracts a plurality of first document groups in the process of step S22.
- the server 1 sets extraction condition information Ip based on a plurality of first document groups. Specifically, for example, the server 1 employs words and phrases used in a plurality of first document groups as keywords included in the extraction condition Ip. Further, for example, the server 1 creates a ranking of the number of assigned patent classification codes (IPC, F-term, FI, etc.) assigned to each of a plurality of first document groups, and ranks the top patent classification codes in the ranking. It is adopted as a category (patent classification code) included in the extraction condition information Ip.
- IPC patent classification code
- the server 1 can set cited documents described in each of a plurality of first document groups and documents cited during substantive examination as a plurality of second document groups.
- the server 1 can set the extraction condition information Ip based on the first document group and the second document group.
- the server 1 may present the attendee A with the first document group and the second document group.
- the attendee A selects the third document group, which is considered appropriate as a search target from among the presented first document group and second document group, that is, is considered useful for examining theme information.
- the result of the selection by the attendee A is acquired by the server 1 via the attendee terminal 2 .
- the server 1 sets the extraction condition information Ip based on the third document group. As a result, more appropriate extraction condition information Ip is set.
- FIG. 4 shows an outline of the question generation service among the services.
- the question generation service generates one or more questions to obtain additional information needed to identify inventions on the theme of development meeting M.
- one or more pieces of information hereinafter referred to as "invention specifying information" necessary for specifying an invention that realizes a new service of company K during the progress of the development meeting M. is extracted.
- one or more questions are generated for obtaining information additionally required for specifying the invention. be done.
- the information about the invention that realizes the new service of the company K is obtained as the invention information (step S31).
- the invention information is acquired by being input to the attendee terminal 2 .
- the acquired invention information is analyzed (step S32).
- the analysis method is not particularly limited, and for example, the presence or absence of information to be input to the attendee terminal 2 and the size of the information input to the attendee terminal 2 are analyzed.
- one or more invention specifying information necessary for specifying an invention that realizes the new service of the company K is extracted from the invention information (step S33).
- the method of determining whether or not the extracted invention specifying information can specify an invention that realizes the new service of the company K is not limited to time.
- a score hereinafter referred to as an "invention identification score" representing a degree of perfection as to whether an invention can be identified as a percentage may be calculated.
- the invention specifying score is "0 (zero)%". Also, if information is input to the attendee terminal 2 but the amount of information is insufficient, the invention specifying score will be "1 to 99%” depending on the contents of the shortage. Further, when a sufficient amount of information for specifying the invention is input to the attendee terminal 2, the invention specifying score is "100%".
- the invention specifying score is calculated as "80%".
- what kind of information is lacking is specified, and a message prompting the input of the lacking information is notified.
- the invention identification score is 80%.
- the missing information is the effect of the invention.
- a message such as "Invention identification score will be 100% when additionally inputting 'Invention effect'" is notified.
- attendee A can easily know what kind of information should be considered and input in order to specify the invention. It is possible to conduct a hearing about the information that is lacking because of this.
- the hearing is conducted in the form of questions.
- a question such as "What effect can you expect?" is generated.
- the question is displayed on the attendee terminal 2 .
- the contents of the questions displayed on the attendee terminals 2 may be generated in advance from expected questions and answers. Further, for example, a patent document search may be performed based on the content of the generated question.
- the index of the amount of information used in the question generation service can be changed according to the purpose of the development meeting M.
- the purpose of the development meeting M is standardization (for example, formulating specifications as standards such as ISO and JIS)
- it may be a score (indicator).
- a score indicator
- the following items are adopted as information used for calculating the score (indicator) at such a stage. That is, for example, items related to awareness, relationship with business plans, internal preparations, achievements, and industry and abandonment are adopted as information used to calculate the score (indicator).
- the server 1 by collecting this information, it is possible to request expert support for necessary items in the standardization of the person (for example, the company to which Participant A belongs) who is trying to standardize it. It becomes possible.
- the server 1 generates the following questions, for example, when the information regarding the recognition level item is insufficient. For example, “Have you ever used a plan?", “Have you ever created a plan?”, “Have you grasped the standards related to your business?” A question such as "Is there any?" is generated. By answering the questions generated by the server 1 in this way, the information on the above items is collected. Such questions and answers are repeated for each item, and when the score (indicator) reaches 100%, it is possible to appropriately determine what kind of support is required for standardization.
- the score (indicator) item may be set based on the know-how of an experienced salesperson.
- the questions generated by the question generation service are presented only to those of the participants A of the conference who sell to other participants.
- the participant A who is in charge of sales, asks the other participants A questions that should be asked by a veteran sales person, thereby making it possible to conduct sales activities like a veteran.
- FIG. 5 shows an outline of the contribution ratio calculation service of this service.
- the contribution rate calculation service includes a service of specifying a speaker from the speech data of the development meeting M and calculating the contribution rate of the speech in the meeting for each speaker (attendee A). That is, as shown in FIG. 5A, speech data is acquired at the development meeting M (step S41). Then, the speaker (attendee A) of the speech included in the obtained voice data is identified (step S42). Then, information indicating the attendee A identified as the speaker (hereinafter referred to as "speaker information"), theme information, and information indicating the contents of statements made by the speaker in the conference (hereinafter referred to as "speech information").
- step S43 the contribution rate of the speech in the conference is calculated for each speaker (attendee A) (step S43). Thereby, the contribution ratio of each inventor to the discovered invention is automatically calculated. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
- the contribution rate calculation service can share ideas input to each of a plurality of attendee terminals 2 at a development meeting M among a plurality of attendees A.
- FIG. 5B attendee A writes his/her own electronic sticky note E displayed on the screen of attendee terminal 2 (smartphone in the example of FIG. 5B). Write (input) your idea.
- Attendee A performs an operation of swiping electronic sticky note E so as to fade it out from the screen of attendee terminal 2 .
- a predetermined display device H for example, a display device having a whiteboard function
- the electronic sticky notes E on which ideas are written are arranged and displayed on the display device H.
- FIG. As a result, all attendees A can see the content written on the electronic sticky note E. As a result, the progress of the conference can be made more efficient, and so-called online conferences can be handled.
- the content of the idea written on the electronic sticky note E is converted into data and managed in association with information (for example, an ID) that can uniquely identify the attendee A.
- the method of associating the attendee A with the electronic sticky note E is not particularly limited, and the attendee A may be specified from the attendee terminal 2 that sent the electronic sticky note E, for example. Alternatively, the attendee A may be identified by image recognition of the name written on the electronic sticky note E.
- FIG. 6 shows an overview of the person-in-charge allocation service of this service.
- the person-in-charge allocation service is a service that judges the progress of the development meeting M and allocates persons in charge who may be necessary for realizing a theme for realizing a new service of the company K.
- FIG. 6 shows an overview of the person-in-charge allocation service of this service.
- the person-in-charge allocation service is a service that judges the progress of the development meeting M and allocates persons in charge who may be necessary for realizing a theme for realizing a new service of the company K.
- step S51 information about the development meeting M is acquired as meeting information (step S51). Also, the data of the voice of the development meeting M is acquired as voice information (step S52). Then, each speaker (attendee A) of each predetermined unit of speech included in the acquired voice information is identified (step S53). Next, the progress of the development meeting M is determined based on the acquired meeting information, the information indicating the specified speaker, and the information indicating the content of the speaker's speech (step S54). Then, based on the results of the determination of the progress of the development meeting M, allocation of persons in charge (for example, persons suitable as persons in charge of the remaining tasks) who may be necessary for realizing the theme for realizing the new service of the company K. is done. (Step S55).
- persons in charge for example, persons suitable as persons in charge of the remaining tasks
- the results of assigning personnel are then presented to the target person. If consent is obtained for the presentation, the result of the allocation is reflected, and if consent is not obtained, input of predetermined information for correcting the allocation result is accepted (step S56). . Specifically, for example, as a result of the determination of the progress of the development meeting M, if the information about the embodiment for specifying the invention is insufficient, the amount of remarks at the development meeting M may be reduced. Allocation is performed with attendee A having the largest number of attendees as the person in charge.
- the member of the intellectual property department who was in charge of the prior art search or the expert knowledge on intellectual property is assigned to the person in charge.
- the person in charge executes the assigned process, the contents thereof are recorded as meeting information as needed, and the progress of the development meeting M is determined (step S57).
- alert information is notified to the person in charge of processing related to that item (step S58).
- the person-in-charge allocation service even if a person does not attend the development meeting M, the content of the development meeting M, the materials showing the details of the ideas submitted at the development meeting M, and the attendance at the development meeting M Based on the information indicating the contents of remarks of person A, the search history, the development status, etc., it is possible to grasp how far the examination of the invention has progressed. Then, according to the progress of the project, it indicates what kind of personnel should be placed where.
- attendee A can easily grasp the difference between the state that should be reached in order to file a patent application for a certain invention and the current state.
- FIG. 7 is a diagram showing an example configuration of an information processing system to which a server according to an embodiment of the present invention is applied.
- the information processing system shown in FIG. 7 is configured to include a server 1 and attendee terminals 2 .
- the server 1 and attendee terminals 2 are connected to each other via a predetermined network NW such as the Internet or LAN (Local Area Network).
- NW such as the Internet or LAN (Local Area Network).
- the server 1 is an information processing device managed by a service provider (not shown). The server 1 performs various processes for realizing this service while appropriately communicating with the attendee terminals 2 .
- the attendee terminal 2 is an information processing device operated by the attendee A who attends the development meeting M remotely.
- the attendee terminal 2 is composed of a smartphone, tablet, personal computer, or the like. Although only one attendee terminal 2 is drawn in FIG. 7, this is simplified to aid understanding of the explanation. In other words, there may actually be as many attendee terminals 2 as there are attendees A who attend the development meeting M remotely.
- FIG. 8 is a block diagram showing an example of the hardware configuration of the server in the information processing system shown in FIG.
- the server 1 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a bus 14, an input/output interface 15, an input section 16, and an output section 17. , a storage unit 18 , a communication unit 19 and a drive 20 .
- CPU Central Processing Unit
- ROM Read Only Memory
- RAM Random Access Memory
- the CPU 11 executes various processes according to programs recorded in the ROM 12 or programs loaded from the storage unit 18 to the RAM 13 .
- the RAM 13 also stores data necessary for the CPU 11 to execute various processes.
- the CPU 11, ROM 12 and RAM 13 are interconnected via a bus 14.
- An input/output interface 15 is also connected to this bus 14 .
- An input unit 16 , an output unit 17 , a storage unit 18 , a communication unit 19 and a drive 20 are connected to the input/output interface 15 .
- the input unit 16 is composed of, for example, a keyboard or the like, and inputs various information.
- the output unit 17 includes a display such as a liquid crystal display, a speaker, and the like, and outputs various information as images and sounds.
- the storage unit 18 is composed of a DRAM (Dynamic Random Access Memory) or the like, and stores various data.
- the communication unit 19 communicates with another device (for example, the attendee terminal 2 in FIG. 7) via a network NW including the Internet.
- a removable medium 40 such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory is mounted in the drive 20 as appropriate.
- a program read from the removable medium 40 by the drive 20 is installed in the storage section 18 as necessary.
- the removable medium 40 can also store various data stored in the storage unit 18 in the same manner as the storage unit 18 .
- the attendee terminal 2 in FIG. 7 can also have a configuration basically similar to the hardware configuration shown in FIG. Therefore, description of the hardware configuration of the attendee terminal 2 is omitted.
- “Function presentation processing” is a process of analyzing theme information indicating a theme for realizing a predetermined target and presenting candidates for one or more functional elements that may be necessary for realizing the predetermined target.
- “Extraction condition presentation processing” analyzes theme information indicating a theme for realizing a predetermined target, and generates and presents information for extracting information indicating prior art that may be related to the predetermined target.
- invention specification determination process refers to a process of extracting invention specification information for a given invention from invention information and determining whether or not the invention specification information can specify a given invention.
- Question generation processing is a process of identifying invention specifying information that is additionally required to specify a given invention and generating a given question for acquiring the missing invention specifying information. That's what I mean.
- the “contribution rate calculation process” is a process of specifying speakers from voice data of a conference on a predetermined theme and calculating the contribution rate of speech in the conference for each speaker.
- Personnel allocation processing refers to a process of judging the progress of a conference on a given theme and allocating personnel who may be necessary to realize the theme.
- FIG. 9 shows, of the functional configuration of the server in FIG. 8 that constitutes the information processing system in FIG.
- FIG. 4 is a functional block diagram showing an example of a functional configuration for executing person allocation processing
- the CPU 11 when the server 1 in FIG. 8 executes candidate proposal processing, the CPU 11 includes an acquisition unit 101, an analysis unit 102, a presentation unit 103, a specific information extraction unit 104, a determination unit 105, a specification unit 106, a question generation unit 107, a contribution calculation unit 108, and a person-in-charge allocation unit 109 function.
- a theme DB 181, an invention DB 182, a meeting DB 183, a personnel DB 184, and an extraction condition DB 185 are provided.
- the theme DB 181 stores theme information.
- the invention DB 182 stores invention information.
- the conference DB 183 stores conference information and audio information.
- Personnel information is stored in the personnel DB 184 .
- the personnel information stores information about the executives and employees of the company K, including the attendees of the development meeting M.
- the extraction condition DB 185 stores search formulas associated with functional elements F.
- the acquisition unit 101 acquires various types of information.
- theme acquisition section 111 In acquisition section 101, theme acquisition section 111, invention acquisition section 112, voice acquisition section 113, and conference acquisition section 114 function.
- the theme acquisition unit 111 acquires information indicating a theme for realizing a new service of company K as theme information.
- the theme information acquired by the theme acquisition unit 111 is stored and managed in the theme DB 181 .
- the invention acquisition unit 112 acquires information about a given invention as invention information.
- the invention information acquired by the invention acquisition unit 112 is stored and managed in the invention DB 182 .
- the audio acquisition unit 113 acquires the audio data of the conference with the theme of realizing the new service of company K as audio information.
- the meeting acquisition unit 114 acquires as meeting information related to a meeting whose theme is to realize a new service of company K.
- the analysis unit 102 analyzes various types of information.
- a theme analysis section 121 and an invention analysis section 122 function.
- the theme analysis unit 121 analyzes the theme information acquired by the theme acquisition unit 111.
- the invention analysis unit 122 analyzes the invention information acquired by the invention acquisition unit 112 .
- the presentation unit 103 presents various types of information.
- function presentation unit 131 and extraction condition presentation unit 132 function.
- the function presentation unit 131 presents candidates for one or more functional elements F that are required to realize the new service of the company K based on the analysis results of the theme analysis unit 121 .
- the extraction condition presentation unit 132 generates and presents extraction condition information Ip indicating prior art that may be related to the new service of company K, based on the analysis results of the theme analysis unit 121 .
- the extraction condition information Ip generated by the extraction condition presentation unit 132 is stored and managed in the extraction condition DB 185 .
- the identification information extraction unit 104 extracts the invention identification information from the invention information of the predetermined invention.
- the determination unit 105 makes various determinations. In determination unit 105, specific determination unit 151 and situation determination unit 152 function.
- the identification determination unit 151 determines whether or not the invention identification information extracted by the identification information extraction unit 104 can identify a given invention.
- the situation determination unit 152 determines whether the development meeting M determine the progress of
- the identification unit 106 performs various identifications.
- a shortage identification unit 161 and a speaker identification unit 162 function.
- the lack identification unit 161 identifies invention identification information that is additionally required to identify a given invention.
- the speaker identification unit 162 identifies the speaker of each predetermined unit of speech included in the audio information acquired by the audio acquisition unit 113 .
- the question generation unit 107 generates a predetermined question for acquiring the invention specifying information specified by the shortage specifying unit 161.
- Contribution rate calculation section 108 performs a conference based on speaker information indicating the speaker identified by speaker identification section 162, theme information indicating the theme of the conference, and statement information indicating the content of the statement of the speaker. Calculate the contribution rate of the utterance in each utterance.
- the person-in-charge allocation unit 109 allocates persons in charge who may be necessary for realizing the theme for realizing the new service of company K, based on the determination result of the situation determination unit 152 .
- the information processing apparatus of FIG. 8 having the functional configuration of FIG. 9 executes function presentation processing, extraction condition presentation processing, invention specification determination processing, question generation processing, contribution rate calculation processing, and person in charge assignment processing. can be done. This makes it easier to discover inventions based on the theme of realizing new services for company K. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications. Also, at the development meeting M, it is possible to conduct a thorough prior art search. Also, at the development meeting M, it becomes easy to grasp the difference between the state to be reached in order to file a patent application and the current state. Also, at the development meeting, it is possible to ask about information that is lacking in order to specify the invention. In addition, the inventor's contribution rate to the discovered invention is automatically calculated. In addition, it becomes easier to allocate the personnel necessary for efficiently filing patent applications. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
- the remote format is adopted as the format of the development meeting M of the company K, but it is not limited to this. good.
- a microphone device (not shown) capable of recording the voice of the attendee A is installed in a conference room or the like where the development conference M is held. Data of the recorded voice is acquired by the server 1 as voice information.
- the format of the development meeting M can be arbitrarily selected according to the individual situation of the attendee A (for example, commuting to work or working from home).
- each of the services (functions) described above is also useful in a video conference between a sales representative and a sales partner. Further, for example, each of the services (functions) described above may be adopted as one service (function) of a practice system imitating a remote-type video call system.
- Participant A assumes that there is another Participant A, and uses the practice system to give sales talks. At this time, for example, the participant A can practice sales talk by using the score (index) of the question generation service described above.
- system configuration shown in FIG. 7 and the hardware configuration of the server 1 shown in FIG. 8 are merely examples for achieving the object of the present invention, and are not particularly limited.
- the functional block diagram shown in FIG. 9 is merely an example and is not particularly limited. That is, the information processing system of FIG. 7 is provided with a function capable of executing the function presentation process, the extraction condition presentation process, the invention specification determination process, the question generation process, the contribution rate calculation process, and the person-in-charge allocation process as a whole. is sufficient, and what kind of functional blocks and database are used to realize this function are not particularly limited to the example in FIG.
- the locations of the functional blocks and the database are not limited to those shown in FIG. 9, and may be arbitrary.
- the function presentation process, the extraction condition presentation process, the invention specification determination process, the question generation process, the contribution rate calculation process, and the person in charge allocation process are carried out by the server in FIG. 8 that constitutes the information processing system in FIG. Although it is configured to be performed under the control of the CPU 11 of No. 1, it is not limited to this.
- at least part of the functional blocks and database arranged on the server 1 side may be provided on the attendee terminal 2 side or another information processing device (not shown).
- a program constituting the software is installed in a computer or the like from a network or a recording medium.
- the computer may be a computer built into dedicated hardware. Also, the computer may be a computer capable of executing various functions by installing various programs, such as a server, a general-purpose smart phone, or a personal computer.
- a recording medium containing such a program not only consists of a removable medium (not shown) that is distributed separately from the main body of the device in order to provide the program to the user, but also is preinstalled in the main body of the device and is delivered to the user. It consists of a provided recording medium, etc.
- the steps of writing a program recorded on a recording medium are not necessarily processed chronologically according to the order, but may be executed in parallel or individually. It also includes the processing to be executed.
- an information processing apparatus for example, the server 1 in FIG. 9) to which the present invention is applied is theme acquisition means (for example, the theme acquisition unit 111 in FIG. 9) for acquiring information indicating a theme for realizing a predetermined target (for example, the new service in FIG. 2) as theme information (for example, the theme information in FIG. 2); theme analysis means for analyzing the theme information (for example, the theme analysis unit 121 in FIG. 9); A function presenting means (for example, a function presenting section in FIG. 9) that presents candidates for one or more functional elements (for example, functional element F in FIG. 2) that may be necessary for realizing the predetermined object based on the result of the analysis. 131) and Prepare.
- theme acquisition means for example, the theme acquisition unit 111 in FIG. 9 for acquiring information indicating a theme for realizing a predetermined target (for example, the new service in FIG. 2) as theme information (for example, the theme information in FIG. 2); theme analysis means for analyzing the theme information (for example, the theme analysis unit 121 in
- an information processing device to which the present invention is applied is theme acquisition means (for example, the theme acquisition unit 111 in FIG. 9) for acquiring, as theme information, information indicating a theme for realizing a predetermined target; theme analysis means for analyzing the theme information (for example, the theme analysis unit 121 in FIG. 9); Extraction condition presenting means (for example, the extraction conditions in FIG. 9) for generating and presenting information for extracting prior art (for example, the extraction condition information Ip in FIG. 2) that may be related to the predetermined target based on the results of the analysis a presentation unit 132); Prepare.
- theme acquisition means for example, the theme acquisition unit 111 in FIG. 9 for acquiring, as theme information, information indicating a theme for realizing a predetermined target
- theme analysis means for analyzing the theme information (for example, the theme analysis unit 121 in FIG. 9)
- Extraction condition presenting means for example, the extraction conditions in FIG. 9) for generating and presenting information for extracting prior art (for example, the extraction condition information Ip
- an information processing device to which the present invention is applied is invention acquisition means (for example, invention acquisition unit 112 in FIG. 9) for acquiring information about a given invention as invention information (for example, invention information in FIG. 2); Invention analysis means for analyzing the invention information (for example, invention analysis unit 122 in FIG. 9); Specific information extraction for extracting one or more pieces of information necessary for specifying the invention from the invention information as invention specifying information (for example, invention specifying information in FIG. 2) based on the result of the analysis by the invention analyzing means. means (for example, the specific information extraction unit 104 in FIG. 9); determination means (for example, the identification determination unit 151 in FIG. 9) for determining whether or not the predetermined invention can be identified by the extracted invention identification information; Prepare.
- invention acquisition means for example, invention acquisition unit 112 in FIG. 9 for acquiring information about a given invention as invention information (for example, invention information in FIG. 2);
- Invention analysis means for analyzing the invention information (for example, invention analysis unit 122 in FIG. 9); Specific information
- the acquired invention information is analyzed. Then, based on the result of the analysis, one or more pieces of information necessary for specifying a predetermined invention are extracted as invention specifying information from among the acquired invention information. Then, it is determined whether or not the invention specifying information can specify a given invention. This makes it easier to grasp the difference between the state to be reached in order to file a patent application and the current state at the development meeting. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
- the invention specifying information that is additionally required to specify the specified invention is specified based on the result of determination as to whether or not the extracted invention specifying information can specify the specified invention. Then, a predetermined question is generated for obtaining the specified invention specifying information. As a result, it becomes possible to ask about information that is lacking in order to specify the invention at the development meeting. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
- an information processing device to which the present invention is applied is voice acquisition means (for example, the voice acquisition unit 113 in FIG. 9) that acquires voice data of a conference on a predetermined theme as voice information (for example, voice information in FIG. 2); speaker identification means (for example, speaker identification unit 162 in FIG. 9) for identifying each speaker of a predetermined unit of speech included in the acquired voice information; Information indicating the speaker identified by the speaker identification means (e.g., speaker information in FIG. 2), information indicating the theme of the conference (e.g., theme information in FIG. 2), and information indicating the content of the speech (for example, the statement information in FIG. 2), a contribution rate calculation means (for example, the contribution rate calculation unit 108 in FIG. 9) that calculates the contribution rate of the statement in the conference for each speaker; Prepare.
- voice acquisition means for example, the voice acquisition unit 113 in FIG. 9
- speaker identification means for example, speaker identification unit 162 in FIG. 9 for identifying each speaker of a predetermined unit of speech included in the acquired
- each speaker of a predetermined unit of speech included in the acquired voice information is identified. Then, based on the information indicating the person specified as the speaker, the information indicating the theme of the conference, and the information indicating the content of the speech of the speaker in the conference, the contribution rate of the speech in the conference is calculated for each speaker. be done. Thereby, the inventor's contribution rate to the discovered invention is automatically calculated. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
- an information processing device to which the present invention is applied is meeting acquisition means (for example, the meeting acquisition unit 114 in FIG. 9) that acquires information about a meeting with a predetermined theme as meeting information (for example, meeting information in FIG. 2); voice acquisition means (for example, the voice acquisition unit 113 in FIG. 9) for acquiring voice data of the held conference as voice information; speaker identification means (for example, speaker identification unit 162 in FIG. 9) for identifying each speaker of a predetermined unit of speech included in the acquired voice information; Based on the acquired conference information, information indicating the specified speaker (for example, speaker information in FIG. 2), and information indicating content of the speech (for example, speech information in FIG. 2), the conference A situation determination means (for example, the situation determination unit 152 in FIG. 9) for determining the progress of a responsible allocation means (for example, a responsible person allocation unit 109 in FIG. 9) that allocates a responsible person who may be necessary for realizing the theme based on the result of the determination by the situation determining means; Prepare.
- information about a meeting with a predetermined theme is acquired as meeting information.
- audio data of the held conference is acquired as audio information.
- the speaker of each predetermined unit of speech included in the acquired voice information is specified.
- the progress of the conference is determined based on the acquired conference information, the information indicating the specified speaker, and the information indicating the content of the speech of the speaker.
- the person in charge who may be necessary for realizing the theme is assigned. This facilitates the placement of the personnel required to efficiently file patent applications. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
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Abstract
The present invention addresses the problem of activating a conference relating to the discovery of an invention so as to improve efficiency of a process from the discovery of an invention to filing of a patent application. A theme acquisition unit 111 acquires, as theme information It, information indicating a theme for realizing a new service of a company K. A theme analysis unit 121 analyzes the theme information It acquired by the theme acquisition unit 111. A function presentation unit 131 makes presentation of at least one candidate of a functional element F required for realizing the new service, on the basis of the result of analysis by the theme analysis unit 121. The aforementioned problem is thereby solved.
Description
本発明は、情報処理装置に関する。
The present invention relates to an information processing device.
従来より、会議の効率化を図るための技術は存在する。例えば特許文献1には、開催された会議に出席した者の発言の内容と、新たに開催される会議のテーマに基づいて、新たに開催される会議の出席者の提案を行う技術が提案されている。
Conventionally, there are technologies for improving the efficiency of meetings. For example, Patent Literature 1 proposes a technique for making proposals for attendees of a newly held conference based on the contents of remarks of attendees at the held conference and the theme of the newly held conference. ing.
しかしながら、特に発明の発掘に関する会議を活性化させることで、発明の発掘から特許出願するまでのプロセスを効率化できる手法の開発が望まれている状況にある。
However, there is a desire to develop a method that can streamline the process from discovering inventions to filing patent applications, especially by activating conferences related to discovering inventions.
本発明は、このような状況を鑑みてなされたものであり、発明の発掘に関する会議を活性化させることで、発明の発掘から特許出願するまでのプロセスを効率化させることを目的とする。
The present invention was made in view of this situation, and aims to streamline the process from discovering inventions to filing patent applications by revitalizing conferences on discovering inventions.
上記目的を達成するため、本発明の一態様の情報処理装置は、
所定の対象を実現させるためのテーマを示す情報を、テーマ情報として取得するテーマ取得手段と、
前記テーマ情報の解析を行うテーマ解析手段と、
前記解析の結果に基づいて、前記所定の対象の実現に必要となり得る1以上の機能的要素の候補を提示する機能提示手段と、
を備える。 In order to achieve the above object, an information processing device according to one aspect of the present invention includes:
theme acquisition means for acquiring, as theme information, information indicating a theme for realizing a predetermined target;
theme analysis means for analyzing the theme information;
function presenting means for presenting candidates for one or more functional elements that may be necessary for realizing the predetermined object, based on the results of the analysis;
Prepare.
所定の対象を実現させるためのテーマを示す情報を、テーマ情報として取得するテーマ取得手段と、
前記テーマ情報の解析を行うテーマ解析手段と、
前記解析の結果に基づいて、前記所定の対象の実現に必要となり得る1以上の機能的要素の候補を提示する機能提示手段と、
を備える。 In order to achieve the above object, an information processing device according to one aspect of the present invention includes:
theme acquisition means for acquiring, as theme information, information indicating a theme for realizing a predetermined target;
theme analysis means for analyzing the theme information;
function presenting means for presenting candidates for one or more functional elements that may be necessary for realizing the predetermined object, based on the results of the analysis;
Prepare.
本発明によれば、発明の発掘に関する会議を活性化させて、発明の発掘から特許出願するまでのプロセスを効率化させることができる。
According to the present invention, it is possible to revitalize meetings related to discovering inventions and streamline the process from discovering inventions to filing patent applications.
以下、本発明の実施形態について、図面を用いて説明する。
Hereinafter, embodiments of the present invention will be described with reference to the drawings.
まず、図1乃至図6を参照して、本発明の一実施形態に係るサーバ1が適用される情報処理システム(後述する図7参照)により実現可能となるサービス(以下、「本サービス」と呼ぶ)の概要について説明する。
First, referring to FIGS. 1 to 6, a service (hereinafter referred to as "this service") that can be realized by an information processing system (see FIG. 7 described later) to which a server 1 according to an embodiment of the present invention is applied. (called) will be described.
図1乃至図6は、本発明の一実施形態に係るサーバが適用される情報処理システムにより実現可能となる本サービスの概要を示す図である。
1 to 6 are diagrams showing an overview of this service that can be realized by an information processing system to which a server according to one embodiment of the present invention is applied.
本サービスは、所定の会議の出席者に対して、その会議の充実化と迅速化とを実現させる情報をリアルタイムで提供可能とするサービスである。
図1には、ある企業Kにおいて実施される、いわゆるリモート形式の開発会議Mの様子が示されている。開発会議Mは、従来にない新たなサービス(以下、「新サービス」と呼ぶ)の提供を実現させるべく、定期的に開催される社内会議である。開発会議Mでは、新サービスの開発と同時に、これに関連する発明Iの発掘と、発掘された発明Iの権利化(特許権の取得)の検討とが行われる。
リモート形式で実施される開発会議Mでは、出席者A1乃至An(nは2以上の整数値)の夫々が、パーソナルコンピュータ等の情報処理装置2-1乃至2-n(以下、「出席者端末2-1乃至2-n」と呼ぶ)の夫々を操作することで参加する。
図1では、出席者A1乃至A5の夫々が、出席者端末2-1乃至2-5の夫々を操作しながら開発会議Mに参加しているものとする。出席者A1乃至A5は、新サービスの開発に直接的又は間接的に携わる者であり、例えば企業Kの役員、新サービスの研究開発を担当する者、知的財産の管理を担当する者等が該当する。 This service is a service that makes it possible to provide attendees of a given meeting with information in real time that will make the meeting more fulfilling and faster.
FIG. 1 shows a so-called remote development meeting M held at a certain company K. As shown in FIG. The development meeting M is an in-house meeting that is held periodically in order to realize the provision of a new service (hereinafter referred to as "new service") that has never existed before. At the development meeting M, at the same time as the development of the new service, discovery of the invention I related to the new service and examination of obtaining the right (acquisition of the patent right) of the discovered invention I are conducted.
In the development meeting M held in a remote format, attendees A1 to An (n is an integer value of 2 or more) use information processing devices 2-1 to 2-n such as personal computers (hereinafter referred to as "attendee terminals"). 2-1 through 2-n”).
In FIG. 1, it is assumed that attendees A1 to A5 are participating in a development conference M while operating attendee terminals 2-1 to 2-5, respectively. Attendees A1 to A5 are those who are directly or indirectly involved in the development of new services. Applicable.
図1には、ある企業Kにおいて実施される、いわゆるリモート形式の開発会議Mの様子が示されている。開発会議Mは、従来にない新たなサービス(以下、「新サービス」と呼ぶ)の提供を実現させるべく、定期的に開催される社内会議である。開発会議Mでは、新サービスの開発と同時に、これに関連する発明Iの発掘と、発掘された発明Iの権利化(特許権の取得)の検討とが行われる。
リモート形式で実施される開発会議Mでは、出席者A1乃至An(nは2以上の整数値)の夫々が、パーソナルコンピュータ等の情報処理装置2-1乃至2-n(以下、「出席者端末2-1乃至2-n」と呼ぶ)の夫々を操作することで参加する。
図1では、出席者A1乃至A5の夫々が、出席者端末2-1乃至2-5の夫々を操作しながら開発会議Mに参加しているものとする。出席者A1乃至A5は、新サービスの開発に直接的又は間接的に携わる者であり、例えば企業Kの役員、新サービスの研究開発を担当する者、知的財産の管理を担当する者等が該当する。 This service is a service that makes it possible to provide attendees of a given meeting with information in real time that will make the meeting more fulfilling and faster.
FIG. 1 shows a so-called remote development meeting M held at a certain company K. As shown in FIG. The development meeting M is an in-house meeting that is held periodically in order to realize the provision of a new service (hereinafter referred to as "new service") that has never existed before. At the development meeting M, at the same time as the development of the new service, discovery of the invention I related to the new service and examination of obtaining the right (acquisition of the patent right) of the discovered invention I are conducted.
In the development meeting M held in a remote format, attendees A1 to An (n is an integer value of 2 or more) use information processing devices 2-1 to 2-n such as personal computers (hereinafter referred to as "attendee terminals"). 2-1 through 2-n”).
In FIG. 1, it is assumed that attendees A1 to A5 are participating in a development conference M while operating attendee terminals 2-1 to 2-5, respectively. Attendees A1 to A5 are those who are directly or indirectly involved in the development of new services. Applicable.
出席者端末2-1乃至2-5の夫々には、本サービスの利用者向けの専用のアプリケーションソフトウェアをインストールすることができる。これにより、出席者A1乃至A5の夫々は、このアプリケーションソフトウェアがインストールされた出席者端末2-1乃至2-5の夫々を用いて本サービスを利用することができる。また、出席者A1乃至A5の夫々は、出席者端末2-1乃至2-5の夫々のブラウザ機能により表示される、本サービスの利用者向けの専用のウェブサイトにアクセスすることでも本サービスを利用することができる。以下、出席者端末2-1乃至2-nの夫々を区別する必要がない場合、これらをまとめて「出席者端末2」と呼ぶ。また、出席者端末2と呼ぶ場合、出席者A1乃至Anをまとめて「出席者A」と呼ぶ。
Dedicated application software for users of this service can be installed on each of the attendee terminals 2-1 to 2-5. As a result, attendees A1 to A5 can use this service by using attendee terminals 2-1 to 2-5 in which this application software is installed. Each of attendees A1 to A5 can also use this service by accessing a dedicated website for users of this service, which is displayed by the browser function of each of attendee terminals 2-1 to 2-5. can be used. Hereinafter, when there is no need to distinguish between the attendee terminals 2-1 to 2-n, they will be collectively referred to as "attendee terminals 2". When calling the attendee terminal 2, the attendees A1 to An are collectively called "attendee A".
本サービスには、機能提示サービス、抽出条件提示サービス、質問生成サービス、寄与率算出サービス、及び担当者割振サービスが含まれる。
「機能提示サービス」とは、開発会議Mのテーマを実現させるための要素となり得る1以上の機能(以下、「機能的要素」と呼ぶ)の候補を出席者Aに提示するサービスのことをいう。
「抽出条件提示サービス」とは、開発会議Mのテーマに関連し得る先行技術を示す情報を抽出するための情報(以下、「抽出条件情報」と呼ぶ)を出席者Aに提示するサービスのことをいう。
「質問生成サービス」とは、開発会議Mのテーマに関する発明を特定するために追加的に必要となる発明特定情報を取得するための質問を生成するサービスのことをいう。
「寄与率算出サービス」とは、開発会議Mの音声のデータから特定される発言者の夫々の、発明Iの創作への寄与率を算出するサービスのことをいう。
「担当者割振サービス」とは、開発会議Mの進行状況に応じて、開発会議Mのテーマを実現させるために必要となる担当者の処理の割り振りを行うサービスのことをいう。 This service includes a function presentation service, an extraction condition presentation service, a question generation service, a contribution rate calculation service, and a person in charge assignment service.
"Function presentation service" refers to a service that presents attendee A with candidates for one or more functions (hereinafter referred to as "functional elements") that can be elements for realizing the theme of development meeting M. .
"Extraction condition presentation service" is a service for presenting attendee A with information (hereinafter referred to as "extraction condition information") for extracting information indicating prior art that may be related to the theme of development meeting M. Say.
"Question generation service" refers to a service for generating questions for obtaining invention specifying information that is additionally required to specify inventions related to the theme of development meeting M.
The "contribution rate calculation service" is a service for calculating the contribution rate of each speaker identified from the voice data of the development meeting M to the creation of invention I.
"Personnel allocation service" refers to a service for allocating processes to persons in charge necessary for realizing the theme of the development meeting M according to the progress of the development meeting M. FIG.
「機能提示サービス」とは、開発会議Mのテーマを実現させるための要素となり得る1以上の機能(以下、「機能的要素」と呼ぶ)の候補を出席者Aに提示するサービスのことをいう。
「抽出条件提示サービス」とは、開発会議Mのテーマに関連し得る先行技術を示す情報を抽出するための情報(以下、「抽出条件情報」と呼ぶ)を出席者Aに提示するサービスのことをいう。
「質問生成サービス」とは、開発会議Mのテーマに関する発明を特定するために追加的に必要となる発明特定情報を取得するための質問を生成するサービスのことをいう。
「寄与率算出サービス」とは、開発会議Mの音声のデータから特定される発言者の夫々の、発明Iの創作への寄与率を算出するサービスのことをいう。
「担当者割振サービス」とは、開発会議Mの進行状況に応じて、開発会議Mのテーマを実現させるために必要となる担当者の処理の割り振りを行うサービスのことをいう。 This service includes a function presentation service, an extraction condition presentation service, a question generation service, a contribution rate calculation service, and a person in charge assignment service.
"Function presentation service" refers to a service that presents attendee A with candidates for one or more functions (hereinafter referred to as "functional elements") that can be elements for realizing the theme of development meeting M. .
"Extraction condition presentation service" is a service for presenting attendee A with information (hereinafter referred to as "extraction condition information") for extracting information indicating prior art that may be related to the theme of development meeting M. Say.
"Question generation service" refers to a service for generating questions for obtaining invention specifying information that is additionally required to specify inventions related to the theme of development meeting M.
The "contribution rate calculation service" is a service for calculating the contribution rate of each speaker identified from the voice data of the development meeting M to the creation of invention I.
"Personnel allocation service" refers to a service for allocating processes to persons in charge necessary for realizing the theme of the development meeting M according to the progress of the development meeting M. FIG.
図2には、本サービスのうち、機能提示サービスの概要が示されている。
機能提示サービスでは、開発会議Mのテーマを実現させるために必要となる1以上の機能的要素の候補が提示される。即ち、開発会議Mの進行中に、企業Kの新サービスを実現させるために必要となる1以上の機能的要素の候補が出席者A1乃至A5にリアルタイムで提示される。 FIG. 2 shows an outline of the function presentation service among these services.
In the function presentation service, candidates for one or more functional elements required to realize the theme of the development meeting M are presented. That is, during the progress of the development meeting M, candidates for one or more functional elements required to implement the new service of the company K are presented to the attendees A1 to A5 in real time.
機能提示サービスでは、開発会議Mのテーマを実現させるために必要となる1以上の機能的要素の候補が提示される。即ち、開発会議Mの進行中に、企業Kの新サービスを実現させるために必要となる1以上の機能的要素の候補が出席者A1乃至A5にリアルタイムで提示される。 FIG. 2 shows an outline of the function presentation service among these services.
In the function presentation service, candidates for one or more functional elements required to realize the theme of the development meeting M are presented. That is, during the progress of the development meeting M, candidates for one or more functional elements required to implement the new service of the company K are presented to the attendees A1 to A5 in real time.
即ち、機能提示サービスでは、開発会議Mのテーマ(図2の例では企業Kの新サービス)を示す情報(以下、「テーマ情報」と呼ぶ)が取得される(ステップS11)。
ここで、テーマ情報の形式は特に限定されず、キーワード、文章、カテゴリ、等をテーマ情報とすることができる。具体的には例えば、テーマ情報として、「MaaS」といったキーワードや、「自動車を利用して移動以外に実現できるサービス」といった文章や、「運輸」、「車両一般」、「サービス」といったカテゴリや、公的機関で技術分類用に利用されている分類基準等が挙げられる。テーマ情報は出席者端末2に入力されることで取得される。 That is, in the function presentation service, information (hereinafter referred to as "theme information") indicating the theme of the development meeting M (the new service of the company K in the example of FIG. 2) is obtained (step S11).
Here, the format of theme information is not particularly limited, and keywords, sentences, categories, and the like can be used as theme information. Specifically, for example, as theme information, keywords such as "MaaS", sentences such as "services that can be realized by using automobiles other than transportation", categories such as "transportation", "general vehicles", and "services", Examples include classification standards used for technical classification by public institutions. The theme information is acquired by being input to theattendee terminal 2 .
ここで、テーマ情報の形式は特に限定されず、キーワード、文章、カテゴリ、等をテーマ情報とすることができる。具体的には例えば、テーマ情報として、「MaaS」といったキーワードや、「自動車を利用して移動以外に実現できるサービス」といった文章や、「運輸」、「車両一般」、「サービス」といったカテゴリや、公的機関で技術分類用に利用されている分類基準等が挙げられる。テーマ情報は出席者端末2に入力されることで取得される。 That is, in the function presentation service, information (hereinafter referred to as "theme information") indicating the theme of the development meeting M (the new service of the company K in the example of FIG. 2) is obtained (step S11).
Here, the format of theme information is not particularly limited, and keywords, sentences, categories, and the like can be used as theme information. Specifically, for example, as theme information, keywords such as "MaaS", sentences such as "services that can be realized by using automobiles other than transportation", categories such as "transportation", "general vehicles", and "services", Examples include classification standards used for technical classification by public institutions. The theme information is acquired by being input to the
次に、取得されたテーマ情報の解析が行われる(ステップS12)。
ここで、解析の手法は時に限定されず、例えば取得されたテーマ情報に関連する文献を対象とするテキストマイニング等が行われる。「文献」としては、例えば特許出願や実用新案登録出願の内容が掲載された文献等が挙げられる。 Next, the acquired theme information is analyzed (step S12).
Here, the method of analysis is not limited to time, and text mining or the like is performed for literature related to the acquired theme information, for example. Examples of “documents” include documents in which the contents of patent applications and utility model registration applications are published.
ここで、解析の手法は時に限定されず、例えば取得されたテーマ情報に関連する文献を対象とするテキストマイニング等が行われる。「文献」としては、例えば特許出願や実用新案登録出願の内容が掲載された文献等が挙げられる。 Next, the acquired theme information is analyzed (step S12).
Here, the method of analysis is not limited to time, and text mining or the like is performed for literature related to the acquired theme information, for example. Examples of “documents” include documents in which the contents of patent applications and utility model registration applications are published.
次に、テーマ情報の解析の結果に基づいて、企業Kの新サービスの実現に必要となり得る1以上の機能的要素Fの候補が抽出されて、出席者A1乃至A5にリアルタイムで提示される(ステップS13)。
ここで、機能的要素Fを抽出する手法は特に限定されない。例えば取得されたテーマ情報に関連する1以上の文献を対象とするテキストマイニング等の結果として得られた機能的要素のうち重複度が高いものを抽出する手法が挙げられる。「重複度」とは、相対する2つの情報の共通点の量を示す指標のことをいう。共通点の量が多ければ重複度は高くなり、共通点の量が少なければ重複度は低くなる。
また、抽出された機能的要素Fの候補を提示する手法も特に限定されない。例えば上記の「重複度」を正規化したスコアとともに機能的要素Fの候補を提示してもよい。図2に示す「90%」、「88%」、「65%」といった値は、いずれもスコアの一例である。 Next, based on the analysis result of the theme information, candidates for one or more functional elements F that may be necessary for realizing the new service of the company K are extracted and presented to the attendees A1 to A5 in real time ( step S13).
Here, the method of extracting the functional element F is not particularly limited. For example, there is a method of extracting functional elements having a high degree of redundancy among the functional elements obtained as a result of text mining or the like targeting one or more documents related to the acquired theme information. "Redundancy" refers to an index that indicates the amount of commonalities between two pieces of information that face each other. The greater the amount of commonalities, the higher the degree of redundancy, and the lesser the amount of commonalities, the lower the degree of redundancy.
Also, the method of presenting the candidates for the extracted functional element F is not particularly limited. For example, a candidate for the functional element F may be presented together with the score obtained by normalizing the "redundancy" described above. Values such as "90%", "88%", and "65%" shown in FIG. 2 are all examples of scores.
ここで、機能的要素Fを抽出する手法は特に限定されない。例えば取得されたテーマ情報に関連する1以上の文献を対象とするテキストマイニング等の結果として得られた機能的要素のうち重複度が高いものを抽出する手法が挙げられる。「重複度」とは、相対する2つの情報の共通点の量を示す指標のことをいう。共通点の量が多ければ重複度は高くなり、共通点の量が少なければ重複度は低くなる。
また、抽出された機能的要素Fの候補を提示する手法も特に限定されない。例えば上記の「重複度」を正規化したスコアとともに機能的要素Fの候補を提示してもよい。図2に示す「90%」、「88%」、「65%」といった値は、いずれもスコアの一例である。 Next, based on the analysis result of the theme information, candidates for one or more functional elements F that may be necessary for realizing the new service of the company K are extracted and presented to the attendees A1 to A5 in real time ( step S13).
Here, the method of extracting the functional element F is not particularly limited. For example, there is a method of extracting functional elements having a high degree of redundancy among the functional elements obtained as a result of text mining or the like targeting one or more documents related to the acquired theme information. "Redundancy" refers to an index that indicates the amount of commonalities between two pieces of information that face each other. The greater the amount of commonalities, the higher the degree of redundancy, and the lesser the amount of commonalities, the lower the degree of redundancy.
Also, the method of presenting the candidates for the extracted functional element F is not particularly limited. For example, a candidate for the functional element F may be presented together with the score obtained by normalizing the "redundancy" described above. Values such as "90%", "88%", and "65%" shown in FIG. 2 are all examples of scores.
機能提示サービスによれば、開発会議Mの出席者A1乃至A5は、提示された1以上の機能的要素の夫々を深堀することができるので、企業Kの新サービスを実現させる発明の発掘が容易になる。その結果、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。
また、機能提示サービスによれば、1以上の機能的要素が、内容に応じて分類されて、各種情報とともにデータベース化されてリアルタイムで提示される。具体的には例えば、図示はしないが、先行技術調査の結果として得られた公開特許公報等に記載された技術から抽出(スクレイピング)された機能的要素を、いわゆる特許マップの形式で可視化した図表等が提示される。これらの情報は、開発会議Mの出席者A1乃至A5が発掘の対象としている発明の権利化(例えば特許権の取得)の有無を検討する際の有用な情報として活用される。 According to the function presentation service, the attendees A1 to A5 of the development meeting M can dig deeper into each of the presented one or more functional elements, so it is easy to discover inventions that will realize the new service of the company K. become. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
Moreover, according to the function presentation service, one or more functional elements are classified according to their content, stored in a database together with various information, and presented in real time. Specifically, for example, although not illustrated, functional elements extracted (scraped) from technologies described in published patent publications obtained as a result of prior art searches are visualized in the form of a so-called patent map. etc. are presented. These pieces of information are utilized as useful information when the attendees A1 to A5 of the development meeting M examine whether or not the invention to be discovered has a right (for example, a patent right).
また、機能提示サービスによれば、1以上の機能的要素が、内容に応じて分類されて、各種情報とともにデータベース化されてリアルタイムで提示される。具体的には例えば、図示はしないが、先行技術調査の結果として得られた公開特許公報等に記載された技術から抽出(スクレイピング)された機能的要素を、いわゆる特許マップの形式で可視化した図表等が提示される。これらの情報は、開発会議Mの出席者A1乃至A5が発掘の対象としている発明の権利化(例えば特許権の取得)の有無を検討する際の有用な情報として活用される。 According to the function presentation service, the attendees A1 to A5 of the development meeting M can dig deeper into each of the presented one or more functional elements, so it is easy to discover inventions that will realize the new service of the company K. become. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
Moreover, according to the function presentation service, one or more functional elements are classified according to their content, stored in a database together with various information, and presented in real time. Specifically, for example, although not illustrated, functional elements extracted (scraped) from technologies described in published patent publications obtained as a result of prior art searches are visualized in the form of a so-called patent map. etc. are presented. These pieces of information are utilized as useful information when the attendees A1 to A5 of the development meeting M examine whether or not the invention to be discovered has a right (for example, a patent right).
以下、機能提示サービスについて、より具体的に説明する。
即ち例えば、出席者Aは、出席者端末2に、開発会議Mのテーマ情報として、「自動運転」という文字列を入力する。その結果、ステップS11において、サーバ1は、出席者端末2から「自動運転」という開発会議Mのテーマ情報を取得する。 The function presentation service will be described in more detail below.
For example, the attendee A inputs a character string "automatic driving" to theattendee terminal 2 as the theme information of the development meeting M. FIG. As a result, in step S<b>11 , the server 1 acquires the theme information of the development meeting M “automatic driving” from the attendee terminal 2 .
即ち例えば、出席者Aは、出席者端末2に、開発会議Mのテーマ情報として、「自動運転」という文字列を入力する。その結果、ステップS11において、サーバ1は、出席者端末2から「自動運転」という開発会議Mのテーマ情報を取得する。 The function presentation service will be described in more detail below.
For example, the attendee A inputs a character string "automatic driving" to the
次に、ステップS12において、サーバ1は、開発会議Mのテーマ情報(「自動運転」)に基づいて、特許文献を検索する。
具体的には例えば、サーバ1は、特許文献のデータが含まれる所定データベースにおいて「自動運転」のキーワードを用いて特許文献を検索する。また例えば、サーバ1は、特許文献のデータが含まれる所定データベースにおいて、特許分類コード(例えばFI・Fターム)のうち「自動運転」に関するものを用いて特許文献を検索する。
そして、サーバ1は、検索により抽出された特許文献において、テキストマイニングの処理を施す。 Next, in step S12, theserver 1 searches for patent documents based on the theme information of the development meeting M ("automatic driving").
Specifically, for example, theserver 1 searches for patent documents using the keyword “automatic driving” in a predetermined database containing patent document data. Further, for example, the server 1 searches for patent documents in a predetermined database containing patent document data using patent classification codes (for example, FI/F terms) related to "automatic driving".
Then, theserver 1 performs text mining processing on the patent documents extracted by the search.
具体的には例えば、サーバ1は、特許文献のデータが含まれる所定データベースにおいて「自動運転」のキーワードを用いて特許文献を検索する。また例えば、サーバ1は、特許文献のデータが含まれる所定データベースにおいて、特許分類コード(例えばFI・Fターム)のうち「自動運転」に関するものを用いて特許文献を検索する。
そして、サーバ1は、検索により抽出された特許文献において、テキストマイニングの処理を施す。 Next, in step S12, the
Specifically, for example, the
Then, the
そして、サーバ1は、テキストマイニングの処理の結果抽出された語句のうち、機能的要素に該当するものを抽出する。
具体的には例えば、テキストマイニングの処理の結果、所定のデータベース(例えば、類語辞典や上位概念や下位概念の関係性が体系づけられたシソーラス辞典)を用いて、統合された1以上の語句が抽出される。なお、この統合は、テキストマイニングの処理の一部として実行されてもよい。
そして、サーバ1は、その特許文献の自動運転の実現のための機能や手段として用いられている語句を抽出し、機能的要素に該当するものとする。
その結果、「(GPS、センサなどの)自車位置特定部(機能)」、「(カメラ、LIDARなどの)障害物検出部(機能)」、「(走行経路を算出する)経路算出部(機能)」、「(地図情報を処理する)マップ処理部(機能)」、「(経路算出部が算出した経路に基づいて駆動・操舵機構を制御する)走行制御部(機能)」、「(ドライバーモニタリングカメラなどの)乗員監視部(機能)」、「(他車や管制センターなどと通信する)通信部(機能)」などの機能的要素が抽出される。 Then, theserver 1 extracts words corresponding to functional elements from the words extracted as a result of the text mining process.
Specifically, for example, as a result of the text mining process, one or more words integrated using a predetermined database (for example, a thesaurus or a thesaurus in which the relationships between superordinate concepts and subordinate concepts are organized). extracted. Note that this integration may be performed as part of the text mining process.
Then, theserver 1 extracts words and phrases used as functions and means for realizing automatic driving in the patent document, and assumes that they correspond to functional elements.
As a result, "vehicle position specifying unit (function) (GPS, sensor, etc.)", "obstacle detection unit (function) (camera, LIDAR, etc.)", "route calculation unit (calculating the driving route) ( function)", "(processing map information) map processing unit (function)", "travel control unit (function) (controlling the drive/steering mechanism based on the route calculated by the route calculation unit)", "( Functional elements such as the occupant monitoring unit (function) such as a driver monitoring camera, and the communication unit (function) (communicating with other vehicles and the control center) are extracted.
具体的には例えば、テキストマイニングの処理の結果、所定のデータベース(例えば、類語辞典や上位概念や下位概念の関係性が体系づけられたシソーラス辞典)を用いて、統合された1以上の語句が抽出される。なお、この統合は、テキストマイニングの処理の一部として実行されてもよい。
そして、サーバ1は、その特許文献の自動運転の実現のための機能や手段として用いられている語句を抽出し、機能的要素に該当するものとする。
その結果、「(GPS、センサなどの)自車位置特定部(機能)」、「(カメラ、LIDARなどの)障害物検出部(機能)」、「(走行経路を算出する)経路算出部(機能)」、「(地図情報を処理する)マップ処理部(機能)」、「(経路算出部が算出した経路に基づいて駆動・操舵機構を制御する)走行制御部(機能)」、「(ドライバーモニタリングカメラなどの)乗員監視部(機能)」、「(他車や管制センターなどと通信する)通信部(機能)」などの機能的要素が抽出される。 Then, the
Specifically, for example, as a result of the text mining process, one or more words integrated using a predetermined database (for example, a thesaurus or a thesaurus in which the relationships between superordinate concepts and subordinate concepts are organized). extracted. Note that this integration may be performed as part of the text mining process.
Then, the
As a result, "vehicle position specifying unit (function) (GPS, sensor, etc.)", "obstacle detection unit (function) (camera, LIDAR, etc.)", "route calculation unit (calculating the driving route) ( function)", "(processing map information) map processing unit (function)", "travel control unit (function) (controlling the drive/steering mechanism based on the route calculated by the route calculation unit)", "( Functional elements such as the occupant monitoring unit (function) such as a driver monitoring camera, and the communication unit (function) (communicating with other vehicles and the control center) are extracted.
また、サーバ1は、これらの機能的要素毎に、所定の手法により、検索により抽出された複数の特許文献に基づいて出現回数や重要度等の指標を生成する。
即ち例えば、出現回数として、複数の特許文献におけるその機能的要素の出現回数の和が採用されてもよい。また例えば、出現回数として、その機能的要素の出現する特許文献の数が採用されてもよい。
また例えば、重要度は、出現回数に基づくものが採用されてもよい。また例えば、機能的要素の夫々が、その特許文献における特別な技術的特徴である場合に重要度が高く評価されてもよい。
なお、出現回数と重要度は、上述の例を組合せた所定の関数により生成(演算)されてもよい。また、出現回数と重要度は、所定の学習アルゴリズムにより学習されたAI等を用いて生成されてもよい。 In addition, theserver 1 generates indices such as the number of appearances and the degree of importance for each of these functional elements by a predetermined method based on a plurality of patent documents extracted by searching.
That is, for example, as the number of appearances, the sum of the number of appearances of the functional element in a plurality of patent documents may be employed. Further, for example, the number of patent documents in which the functional element appears may be used as the number of appearances.
Further, for example, the degree of importance may be based on the number of appearances. Also, for example, if each functional element is a special technical feature in the patent document, the importance may be highly evaluated.
Note that the number of appearances and the degree of importance may be generated (calculated) by a predetermined function combining the above examples. Also, the number of appearances and the degree of importance may be generated using an AI or the like learned by a predetermined learning algorithm.
即ち例えば、出現回数として、複数の特許文献におけるその機能的要素の出現回数の和が採用されてもよい。また例えば、出現回数として、その機能的要素の出現する特許文献の数が採用されてもよい。
また例えば、重要度は、出現回数に基づくものが採用されてもよい。また例えば、機能的要素の夫々が、その特許文献における特別な技術的特徴である場合に重要度が高く評価されてもよい。
なお、出現回数と重要度は、上述の例を組合せた所定の関数により生成(演算)されてもよい。また、出現回数と重要度は、所定の学習アルゴリズムにより学習されたAI等を用いて生成されてもよい。 In addition, the
That is, for example, as the number of appearances, the sum of the number of appearances of the functional element in a plurality of patent documents may be employed. Further, for example, the number of patent documents in which the functional element appears may be used as the number of appearances.
Further, for example, the degree of importance may be based on the number of appearances. Also, for example, if each functional element is a special technical feature in the patent document, the importance may be highly evaluated.
Note that the number of appearances and the degree of importance may be generated (calculated) by a predetermined function combining the above examples. Also, the number of appearances and the degree of importance may be generated using an AI or the like learned by a predetermined learning algorithm.
また例えば、機能的要素とその出現回数や重要度は、特許マップとして生成されてもよい。
即ち例えば、検索により抽出された特許文献に基づいて、その特許文献に付与されたFタームのバブルチャートが特許マップとして生成される。 Further, for example, functional elements and their appearance counts and degrees of importance may be generated as a patent map.
That is, for example, based on patent documents extracted by searching, a bubble chart of F-terms assigned to the patent documents is generated as a patent map.
即ち例えば、検索により抽出された特許文献に基づいて、その特許文献に付与されたFタームのバブルチャートが特許マップとして生成される。 Further, for example, functional elements and their appearance counts and degrees of importance may be generated as a patent map.
That is, for example, based on patent documents extracted by searching, a bubble chart of F-terms assigned to the patent documents is generated as a patent map.
次に、ステップS13において、サーバ1は、抽出された機能的要素を会議中の出席者Aにリアルタイムで提示する。
また、サーバ1は、上述の生成された出現回数や重要度を同時に提示することができる。また例えば、サーバ1は、出現回数や重要度の高い機能的要素を優先的に提示することができる。
また例えば、検索により抽出された特許文献に基づいて、その特許文献に付与されたFタームのバブルチャートが特許マップとして生成された場合、当該特許マップが出席者Aに提示される。これにより、出席者Aは、複数の機能的要素の夫々の重要度(文献において検討等をされている率等)を把握することができる。 Next, in step S13, theserver 1 presents the extracted functional elements to attendee A in the meeting in real time.
In addition, theserver 1 can simultaneously present the generated number of occurrences and importance as described above. Further, for example, the server 1 can preferentially present a functional element having a high number of appearances or a high degree of importance.
Further, for example, when a bubble chart of F-term assigned to the patent document is generated as a patent map based on the patent document extracted by the search, the attendant A is presented with the patent map. As a result, attendee A can grasp the degree of importance of each of the plurality of functional elements (percentage, etc., of which consideration is given in the literature).
また、サーバ1は、上述の生成された出現回数や重要度を同時に提示することができる。また例えば、サーバ1は、出現回数や重要度の高い機能的要素を優先的に提示することができる。
また例えば、検索により抽出された特許文献に基づいて、その特許文献に付与されたFタームのバブルチャートが特許マップとして生成された場合、当該特許マップが出席者Aに提示される。これにより、出席者Aは、複数の機能的要素の夫々の重要度(文献において検討等をされている率等)を把握することができる。 Next, in step S13, the
In addition, the
Further, for example, when a bubble chart of F-term assigned to the patent document is generated as a patent map based on the patent document extracted by the search, the attendant A is presented with the patent map. As a result, attendee A can grasp the degree of importance of each of the plurality of functional elements (percentage, etc., of which consideration is given in the literature).
このように、サーバ1は、会議中に出席者Aに入力された開発会議Mのテーマ情報に基づいて、リアルタイムに(会議中に)機能的要素を出席者Aに提示することができる。即ち、出席者Aによる文献の検索や文献の確認といった作業時間等を置かずに機能的要素が出席者Aに提示される。これにより、出席者Aは、その会議中により機能的要素のより深い内容まで会議をすることができるようになるのである。
Thus, the server 1 can present functional elements to the attendee A in real time (during the meeting) based on the theme information of the development meeting M input to the attendee A during the meeting. That is, the attendee A is presented with the functional elements without spending time for the attendee A to search for documents or check the documents. This allows attendee A to go deeper into the functional elements during the meeting.
図3には、本サービスのうち、抽出条件提示サービスの概要が示されている。
抽出条件提示サービスでは、開発会議Mのテーマに関連し得る先行技術を示す情報を抽出するための情報(以下、「抽出条件情報」と呼ぶ)が生成されて提示される。抽出条件情報としては、キーワード、検索式、カテゴリ(例えば公的機関で技術分類用に利用されている分類基準等)などが挙げられる。
具体的には、抽出条件提示サービスでは、開発会議Mの進行中に、企業Kの新サービスに関連し得る先行技術を示す情報を抽出するための抽出条件情報が生成されて、出席者A1乃至A5にリアルタイムで提示される。 FIG. 3 shows an outline of the extraction condition presentation service among these services.
In the extraction condition presentation service, information (hereinafter referred to as "extraction condition information") for extracting information indicating prior art that may be related to the theme of the development meeting M is generated and presented. Examples of extraction condition information include keywords, search formulas, categories (for example, classification criteria used for technical classification by public institutions), and the like.
Specifically, in the extraction condition presentation service, during the progress of the development meeting M, extraction condition information for extracting information indicating prior art that may be related to the new service of the company K is generated. Presented in real time on A5.
抽出条件提示サービスでは、開発会議Mのテーマに関連し得る先行技術を示す情報を抽出するための情報(以下、「抽出条件情報」と呼ぶ)が生成されて提示される。抽出条件情報としては、キーワード、検索式、カテゴリ(例えば公的機関で技術分類用に利用されている分類基準等)などが挙げられる。
具体的には、抽出条件提示サービスでは、開発会議Mの進行中に、企業Kの新サービスに関連し得る先行技術を示す情報を抽出するための抽出条件情報が生成されて、出席者A1乃至A5にリアルタイムで提示される。 FIG. 3 shows an outline of the extraction condition presentation service among these services.
In the extraction condition presentation service, information (hereinafter referred to as "extraction condition information") for extracting information indicating prior art that may be related to the theme of the development meeting M is generated and presented. Examples of extraction condition information include keywords, search formulas, categories (for example, classification criteria used for technical classification by public institutions), and the like.
Specifically, in the extraction condition presentation service, during the progress of the development meeting M, extraction condition information for extracting information indicating prior art that may be related to the new service of the company K is generated. Presented in real time on A5.
即ち、抽出条件提示サービスでは、開発会議Mのテーマ情報が取得される(ステップS21)。具体的には、テーマ情報として、企業Kの新サービスに関する情報が取得される。テーマ情報は出席者端末2に入力されることで取得される。
次に、取得されたテーマ情報の解析が行われる(ステップS22)。なお、解析の手法は特に限定されず、図2の例と同様であり、例えば関連する文献を対象とするテキストマイニング等が行われる。 That is, in the extraction condition presentation service, the theme information of the development meeting M is acquired (step S21). Specifically, information about the new service of company K is acquired as the theme information. The theme information is acquired by being input to theattendee terminal 2 .
Next, the acquired theme information is analyzed (step S22). The method of analysis is not particularly limited, and is the same as in the example of FIG. 2. For example, text mining of related documents is performed.
次に、取得されたテーマ情報の解析が行われる(ステップS22)。なお、解析の手法は特に限定されず、図2の例と同様であり、例えば関連する文献を対象とするテキストマイニング等が行われる。 That is, in the extraction condition presentation service, the theme information of the development meeting M is acquired (step S21). Specifically, information about the new service of company K is acquired as the theme information. The theme information is acquired by being input to the
Next, the acquired theme information is analyzed (step S22). The method of analysis is not particularly limited, and is the same as in the example of FIG. 2. For example, text mining of related documents is performed.
次に、テーマ情報の解析の結果に基づいて、企業Kの新サービスに関連し得る先行技術を示す情報を抽出するための条件を示す情報Ip(以下、「抽出条件情報Ip」が生成されて、出席者A1乃至A5にリアルタイムで提示される(ステップS23)。
ここで、抽出条件情報Ipを生成する手法は特に限定されない。例えば取得されたテーマ情報に関連する1以上の文献から抽出された機能的要素Fのうち、重複度が高い機能的要素Fに合致する検索式を抽出条件情報Ipとして生成してもよい。具体的には例えば、図示はしないが、各種の機能的要素Fに対応付けられた検索式を所定のデータベース(例えば図9の抽出条件DB185)に予め記憶させておいて、そこから抽出された検索式を抽出条件情報Ipとしてもよい。 Next, based on the analysis result of the theme information, information Ip (hereinafter referred to as "extraction condition information Ip") indicating conditions for extracting information indicating prior art that may be related to the new service of Company K is generated. , is presented to attendees A1 to A5 in real time (step S23).
Here, the method of generating the extraction condition information Ip is not particularly limited. For example, of the functional elements F extracted from one or more documents related to the acquired theme information, a search expression that matches a functional element F with a high degree of duplication may be generated as the extraction condition information Ip. Specifically, for example, although not shown, search expressions associated with various functional elements F are stored in advance in a predetermined database (for example, the extraction condition DB 185 in FIG. 9), and extracted from there. The search formula may be used as the extraction condition information Ip.
ここで、抽出条件情報Ipを生成する手法は特に限定されない。例えば取得されたテーマ情報に関連する1以上の文献から抽出された機能的要素Fのうち、重複度が高い機能的要素Fに合致する検索式を抽出条件情報Ipとして生成してもよい。具体的には例えば、図示はしないが、各種の機能的要素Fに対応付けられた検索式を所定のデータベース(例えば図9の抽出条件DB185)に予め記憶させておいて、そこから抽出された検索式を抽出条件情報Ipとしてもよい。 Next, based on the analysis result of the theme information, information Ip (hereinafter referred to as "extraction condition information Ip") indicating conditions for extracting information indicating prior art that may be related to the new service of Company K is generated. , is presented to attendees A1 to A5 in real time (step S23).
Here, the method of generating the extraction condition information Ip is not particularly limited. For example, of the functional elements F extracted from one or more documents related to the acquired theme information, a search expression that matches a functional element F with a high degree of duplication may be generated as the extraction condition information Ip. Specifically, for example, although not shown, search expressions associated with various functional elements F are stored in advance in a predetermined database (for example, the extraction condition DB 185 in FIG. 9), and extracted from there. The search formula may be used as the extraction condition information Ip.
また、生成された抽出条件情報Ipを出席者A1乃至A5に提示する手法は特に限定されない。例えばキーワードとカテゴリとを結合させたものなど、官公庁が一般的に提供する特許データベースで直ちに検索可能な態様の検索式が提示されるようにすることができる。
Also, the method of presenting the generated extraction condition information Ip to attendees A1 to A5 is not particularly limited. For example, a search formula, such as a combination of keywords and categories, that can be immediately searched in patent databases generally provided by government offices can be presented.
また、抽出条件情報Ipは、抽出された1以上の機能的要素Fの夫々について生成されて提示されるようにすることができる。具体的には例えば、4種類の機能的要素Fが抽出されると、その4種類の機能的要素Fの夫々について、4種類の抽出条件情報Ipの夫々が生成されるようにすることができる。
Also, the extraction condition information Ip can be generated and presented for each of the one or more extracted functional elements F. Specifically, for example, when four types of functional elements F are extracted, four types of extraction condition information Ip can be generated for each of the four types of functional elements F. .
抽出条件提示サービスによれば、開発会議Mの出席者A1乃至A5は、提示された抽出条件情報Ipに基づいて先行技術を示す情報を抽出することができる。
また、抽出条件情報Ipは、先行技術調査の結果の一部として提示することもできる。
これにより、企業Kの新サービスが従来にない新しい技術であるのか等、特許権を取得するために必要となる要件(以下、「特許要件」と呼ぶ)を満たすかどうかについての一時判断が容易になる。即ち、開発会議の場において漏れのない先行技術調査が可能となる。その結果、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。 According to the extraction condition presentation service, attendees A1 to A5 of the development meeting M can extract information indicating prior art based on the presented extraction condition information Ip.
The extraction condition information Ip can also be presented as part of the results of the prior art search.
This makes it easy to make a temporary judgment as to whether the new service of Company K is a new technology that has not existed in the past, and whether it meets the requirements necessary to obtain a patent right (hereinafter referred to as "patent requirements"). become. That is, it is possible to conduct a thorough prior art search at the development meeting. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
また、抽出条件情報Ipは、先行技術調査の結果の一部として提示することもできる。
これにより、企業Kの新サービスが従来にない新しい技術であるのか等、特許権を取得するために必要となる要件(以下、「特許要件」と呼ぶ)を満たすかどうかについての一時判断が容易になる。即ち、開発会議の場において漏れのない先行技術調査が可能となる。その結果、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。 According to the extraction condition presentation service, attendees A1 to A5 of the development meeting M can extract information indicating prior art based on the presented extraction condition information Ip.
The extraction condition information Ip can also be presented as part of the results of the prior art search.
This makes it easy to make a temporary judgment as to whether the new service of Company K is a new technology that has not existed in the past, and whether it meets the requirements necessary to obtain a patent right (hereinafter referred to as "patent requirements"). become. That is, it is possible to conduct a thorough prior art search at the development meeting. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
以下、抽出条件提示サービスについて、より具体的に説明する。
まず、ステップS21において、サーバ1は、例えば、出席者端末2から「自動運転」という開発会議Mのテーマ情報を取得する。
なお、ステップS21や上述の図2のステップS11の処理における開発会議Mのテーマ情報の取得方法は、以下のようなものが採用されてもよい。即ち例えば、サーバ1は、会議において共有されている情報に基づいて、テーマ情報を取得することができる。即ち例えば、サーバ1は、会議において予め共有されている資料のデータを解析して、テキストマイニング等にもよりテーマ情報を取得することができる。また例えば、サーバ1は、会議において共有されている画面(画面共有された資料やホワイトボードを撮像した画像等)を解析することにより、画面に含まれる文字や絵の情報に基づいてテーマ情報を取得することができる。また例えば、サーバ1は、資料や画像に含まれる物質の情報(例えば、化合物の化学式や構造式等)をテーマ情報として取得することができる。 The extraction condition presentation service will be described in more detail below.
First, in step S<b>21 , theserver 1 acquires the theme information of the development meeting M, for example, “automatic driving” from the attendee terminal 2 .
The method of acquiring the theme information of the development meeting M in the process of step S21 or step S11 of FIG. 2 may be as follows. That is, for example, theserver 1 can acquire theme information based on information shared in the conference. That is, for example, the server 1 can analyze the data of materials shared in advance in the conference and acquire the theme information by text mining or the like. Further, for example, the server 1 analyzes a screen shared in a meeting (materials shared on the screen, an image of a whiteboard captured, etc.), and extracts theme information based on information on characters and pictures included in the screen. can be obtained. Further, for example, the server 1 can acquire information on substances (for example, chemical formulas, structural formulas, etc. of compounds) included in materials and images as theme information.
まず、ステップS21において、サーバ1は、例えば、出席者端末2から「自動運転」という開発会議Mのテーマ情報を取得する。
なお、ステップS21や上述の図2のステップS11の処理における開発会議Mのテーマ情報の取得方法は、以下のようなものが採用されてもよい。即ち例えば、サーバ1は、会議において共有されている情報に基づいて、テーマ情報を取得することができる。即ち例えば、サーバ1は、会議において予め共有されている資料のデータを解析して、テキストマイニング等にもよりテーマ情報を取得することができる。また例えば、サーバ1は、会議において共有されている画面(画面共有された資料やホワイトボードを撮像した画像等)を解析することにより、画面に含まれる文字や絵の情報に基づいてテーマ情報を取得することができる。また例えば、サーバ1は、資料や画像に含まれる物質の情報(例えば、化合物の化学式や構造式等)をテーマ情報として取得することができる。 The extraction condition presentation service will be described in more detail below.
First, in step S<b>21 , the
The method of acquiring the theme information of the development meeting M in the process of step S21 or step S11 of FIG. 2 may be as follows. That is, for example, the
次に、ステップS22において、サーバ1は、テーマ情報の解析を実行する。テーマ情報の解析は、図2におけるステップS12の処理と同様であってもよく、他の処理によって実現されてもよい。
Next, in step S22, the server 1 analyzes the theme information. Analysis of the theme information may be the same as the process of step S12 in FIG. 2, or may be realized by other processes.
次に、ステップS23において、サーバ1は、ステップS22の処理において解析された結果に基づいて、抽出条件情報Ipを設定する。
即ち例えば、サーバ1は、ステップS22の処理において、複数の第1文献群を抽出する。
次に、サーバ1は、複数の第1文献群に基づいて、抽出条件情報Ipを設定する。
具体的には例えば、サーバ1は、複数の第1文献群において用いられている語句を抽出条件Ipに含まれるキーワードとして採用する。
また例えば、サーバ1は、複数の第1文献群の夫々に付与されている特許分類コード(IPCやFターム、FI等)の付与数のランキングを作成し、そのランキングにおける上位の特許分類コードを抽出条件情報Ipに含まれるカテゴリ(特許分類コード)として採用する。 Next, in step S23, theserver 1 sets the extraction condition information Ip based on the analysis result in the process of step S22.
That is, for example, theserver 1 extracts a plurality of first document groups in the process of step S22.
Next, theserver 1 sets extraction condition information Ip based on a plurality of first document groups.
Specifically, for example, theserver 1 employs words and phrases used in a plurality of first document groups as keywords included in the extraction condition Ip.
Further, for example, theserver 1 creates a ranking of the number of assigned patent classification codes (IPC, F-term, FI, etc.) assigned to each of a plurality of first document groups, and ranks the top patent classification codes in the ranking. It is adopted as a category (patent classification code) included in the extraction condition information Ip.
即ち例えば、サーバ1は、ステップS22の処理において、複数の第1文献群を抽出する。
次に、サーバ1は、複数の第1文献群に基づいて、抽出条件情報Ipを設定する。
具体的には例えば、サーバ1は、複数の第1文献群において用いられている語句を抽出条件Ipに含まれるキーワードとして採用する。
また例えば、サーバ1は、複数の第1文献群の夫々に付与されている特許分類コード(IPCやFターム、FI等)の付与数のランキングを作成し、そのランキングにおける上位の特許分類コードを抽出条件情報Ipに含まれるカテゴリ(特許分類コード)として採用する。 Next, in step S23, the
That is, for example, the
Next, the
Specifically, for example, the
Further, for example, the
また例えば、サーバ1は、複数の第1文献群の夫々に記載されている引用文献や、実体審査中に引用された文献を複数の第2文献群とすることができる。
この場合、サーバ1は、第1文献群及び第2文献群に基づいて、抽出条件情報Ipを設定することができる。 Further, for example, theserver 1 can set cited documents described in each of a plurality of first document groups and documents cited during substantive examination as a plurality of second document groups.
In this case, theserver 1 can set the extraction condition information Ip based on the first document group and the second document group.
この場合、サーバ1は、第1文献群及び第2文献群に基づいて、抽出条件情報Ipを設定することができる。 Further, for example, the
In this case, the
また例えば、サーバ1は、第1文献群や第2文献群を出席者Aに提示してもよい。この場合、出席者Aは、提示された第1文献群や第2文献群のうち検索対象として妥当と思われる、即ち、テーマ情報の検討に有用と考えられる第3文献群を選択する。出席者Aによる選択の結果は、出席者端末2を介してサーバ1に取得される。
そして、サーバ1は、第3文献群に基づいて、抽出条件情報Ipを設定する。
これにより、より適切な抽出条件情報Ipが設定される。 Further, for example, theserver 1 may present the attendee A with the first document group and the second document group. In this case, the attendee A selects the third document group, which is considered appropriate as a search target from among the presented first document group and second document group, that is, is considered useful for examining theme information. The result of the selection by the attendee A is acquired by the server 1 via the attendee terminal 2 .
Then, theserver 1 sets the extraction condition information Ip based on the third document group.
As a result, more appropriate extraction condition information Ip is set.
そして、サーバ1は、第3文献群に基づいて、抽出条件情報Ipを設定する。
これにより、より適切な抽出条件情報Ipが設定される。 Further, for example, the
Then, the
As a result, more appropriate extraction condition information Ip is set.
図4には、本サービスのうち、質問生成サービスの概要が示されている。
質問生成サービスでは、開発会議Mのテーマに関する発明を特定するために追加的に必要となる情報を得るための1以上の質問が生成される。
具体的には、質問生成サービスでは、開発会議Mの進行中に、企業Kの新サービスを実現させる発明を特定するために必要となる1以上の情報(以下、「発明特定情報」と呼ぶ)が抽出される。そして、抽出された1以上の発明特定情報のみではその発明を特定できないと判定された場合に、その発明を特定するために追加的に必要となる情報を取得するための1以上の質問が生成される。 FIG. 4 shows an outline of the question generation service among the services.
The question generation service generates one or more questions to obtain additional information needed to identify inventions on the theme of development meeting M.
Specifically, in the question generation service, one or more pieces of information (hereinafter referred to as "invention specifying information") necessary for specifying an invention that realizes a new service of company K during the progress of the development meeting M. is extracted. Then, when it is determined that the invention cannot be specified only by the extracted one or more invention specifying information, one or more questions are generated for obtaining information additionally required for specifying the invention. be done.
質問生成サービスでは、開発会議Mのテーマに関する発明を特定するために追加的に必要となる情報を得るための1以上の質問が生成される。
具体的には、質問生成サービスでは、開発会議Mの進行中に、企業Kの新サービスを実現させる発明を特定するために必要となる1以上の情報(以下、「発明特定情報」と呼ぶ)が抽出される。そして、抽出された1以上の発明特定情報のみではその発明を特定できないと判定された場合に、その発明を特定するために追加的に必要となる情報を取得するための1以上の質問が生成される。 FIG. 4 shows an outline of the question generation service among the services.
The question generation service generates one or more questions to obtain additional information needed to identify inventions on the theme of development meeting M.
Specifically, in the question generation service, one or more pieces of information (hereinafter referred to as "invention specifying information") necessary for specifying an invention that realizes a new service of company K during the progress of the development meeting M. is extracted. Then, when it is determined that the invention cannot be specified only by the extracted one or more invention specifying information, one or more questions are generated for obtaining information additionally required for specifying the invention. be done.
即ち、企業Kの新サービスを実現させる発明に関する情報が、発明情報として取得される(ステップS31)。発明情報は出席者端末2に入力されることで取得される。
次に、取得された発明情報の解析が行われる(ステップS32)。なお、解析の手法は特に限定されず、例えば出席者端末2に入力されるべき情報の有無や、出席者端末2に入力された情報の大小についての解析が行われる。 That is, the information about the invention that realizes the new service of the company K is obtained as the invention information (step S31). The invention information is acquired by being input to theattendee terminal 2 .
Next, the acquired invention information is analyzed (step S32). Note that the analysis method is not particularly limited, and for example, the presence or absence of information to be input to theattendee terminal 2 and the size of the information input to the attendee terminal 2 are analyzed.
次に、取得された発明情報の解析が行われる(ステップS32)。なお、解析の手法は特に限定されず、例えば出席者端末2に入力されるべき情報の有無や、出席者端末2に入力された情報の大小についての解析が行われる。 That is, the information about the invention that realizes the new service of the company K is obtained as the invention information (step S31). The invention information is acquired by being input to the
Next, the acquired invention information is analyzed (step S32). Note that the analysis method is not particularly limited, and for example, the presence or absence of information to be input to the
次に、発明情報の解析の結果に基づいて、発明情報のうち、企業Kの新サービスを実現させる発明の特定に必要となる1以上の発明特定情報が抽出される(ステップS33)。
次に、抽出された発明特定情報で、企業Kの新サービスを実現させる発明を特定できるかどうかの判定が行われる(ステップS34)。
ここで、抽出された発明特定情報で、企業Kの新サービスを実現させる発明を特定できるかどうかを判定する手法は時に限定されない。例えば発明情報の解析の結果に基づいて、発明を特定できるかどうかについての完成度をパーセンテージで表したスコア(以下、「発明特定スコア」と呼ぶ)が算出されるようにしてもよい。具体的には例えば、出席者端末2に情報が入力されていない場合、発明特定スコアは「0(ゼロ)%」となる。また、出席者端末2に情報が入力されているものの、その情報量が不十分である場合、発明特定スコアは、その不足分の内容に応じて「1~99%」となる。また、発明を特定するために十分な量の情報が出席者端末2に入力されている場合、発明特定スコアは「100%」となる。 Next, based on the analysis result of the invention information, one or more invention specifying information necessary for specifying an invention that realizes the new service of the company K is extracted from the invention information (step S33).
Next, it is determined whether or not the extracted invention specifying information can specify an invention that realizes the new service of the company K (step S34).
Here, the method of determining whether or not the extracted invention specifying information can specify an invention that realizes the new service of the company K is not limited to time. For example, based on the results of analysis of invention information, a score (hereinafter referred to as an "invention identification score") representing a degree of perfection as to whether an invention can be identified as a percentage may be calculated. Specifically, for example, if no information is input to theattendee terminal 2, the invention specifying score is "0 (zero)%". Also, if information is input to the attendee terminal 2 but the amount of information is insufficient, the invention specifying score will be "1 to 99%" depending on the contents of the shortage. Further, when a sufficient amount of information for specifying the invention is input to the attendee terminal 2, the invention specifying score is "100%".
次に、抽出された発明特定情報で、企業Kの新サービスを実現させる発明を特定できるかどうかの判定が行われる(ステップS34)。
ここで、抽出された発明特定情報で、企業Kの新サービスを実現させる発明を特定できるかどうかを判定する手法は時に限定されない。例えば発明情報の解析の結果に基づいて、発明を特定できるかどうかについての完成度をパーセンテージで表したスコア(以下、「発明特定スコア」と呼ぶ)が算出されるようにしてもよい。具体的には例えば、出席者端末2に情報が入力されていない場合、発明特定スコアは「0(ゼロ)%」となる。また、出席者端末2に情報が入力されているものの、その情報量が不十分である場合、発明特定スコアは、その不足分の内容に応じて「1~99%」となる。また、発明を特定するために十分な量の情報が出席者端末2に入力されている場合、発明特定スコアは「100%」となる。 Next, based on the analysis result of the invention information, one or more invention specifying information necessary for specifying an invention that realizes the new service of the company K is extracted from the invention information (step S33).
Next, it is determined whether or not the extracted invention specifying information can specify an invention that realizes the new service of the company K (step S34).
Here, the method of determining whether or not the extracted invention specifying information can specify an invention that realizes the new service of the company K is not limited to time. For example, based on the results of analysis of invention information, a score (hereinafter referred to as an "invention identification score") representing a degree of perfection as to whether an invention can be identified as a percentage may be calculated. Specifically, for example, if no information is input to the
ここで、例えば図4に示すように、発明特定スコアが「80%」と算出されたとする。この場合、どのような情報が不足しているのかを特定して、不足している情報の入力を促すメッセージが報知される。具体的には例えば、「発明特定スコアは80%です。不足している情報は「発明の効果」です。「発明の効果」を追加的に入力すると、発明特定スコアが100%になります」といったメッセージが報知される。これにより、出席者Aは、発明を特定するためにはどのような情報を検討してそれを入力すればよいのかを容易に知ることができるので、開発会議Mの場で、発明を特定するために不足している情報についてのヒアリングが可能となる。
Here, for example, as shown in Fig. 4, it is assumed that the invention specifying score is calculated as "80%". In this case, what kind of information is lacking is specified, and a message prompting the input of the lacking information is notified. Specifically, for example, "The invention identification score is 80%. The missing information is the effect of the invention." A message such as "Invention identification score will be 100% when additionally inputting 'Invention effect'" is notified. As a result, attendee A can easily know what kind of information should be considered and input in order to specify the invention. It is possible to conduct a hearing about the information that is lacking because of this.
ここで、発明を特定するために不足している情報についてのヒアリングがどのように行われるかについては特に限定されず、例えば質問形式によるヒアリングが行われる。
具体的には例えば、発明を特定するためには、「発明の効果」の情報が不足していると判断された場合には、「どんな効果が期待できますか?」といった質問が生成されて、その質問が出席者端末2に表示される。出席者端末2に表示される質問の内容は、想定問答により予め生成されていてもよい。
また例えば、生成された質問の内容に基づいて、特許文献の検索が行われてもよい。そして、検索の結果として、類似度の高い技術が記載された1以上の文献が抽出された場合には、検索結果を提示して、「この文献の発明と今議論している発明とはどんなところが違いますか?」といった質問が生成されてもよい。これにより、開発会議Mの時点で、特許要件(例えば新規性や進歩性)に踏み込んだ議論が可能となる。
その結果、効率的な会議の進行が実現されるので、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。 Here, there is no particular limitation on how the hearing is conducted regarding the information lacking in order to specify the invention, and for example, the hearing is conducted in the form of questions.
Specifically, for example, in order to specify an invention, if it is determined that the information on the "effect of the invention" is insufficient, a question such as "What effect can you expect?" is generated. , the question is displayed on theattendee terminal 2 . The contents of the questions displayed on the attendee terminals 2 may be generated in advance from expected questions and answers.
Further, for example, a patent document search may be performed based on the content of the generated question. Then, when one or more documents describing technologies with a high degree of similarity are extracted as a result of the search, the search results are presented and a message asking, "What is the invention of this document and the invention under discussion?" But is it different?" may be generated. As a result, at the time of the development meeting M, it becomes possible to discuss patent requirements (for example, novelty and inventive step).
As a result, efficient conference proceedings are realized, which contributes to the efficiency of the process from discovering inventions to filing patent applications.
具体的には例えば、発明を特定するためには、「発明の効果」の情報が不足していると判断された場合には、「どんな効果が期待できますか?」といった質問が生成されて、その質問が出席者端末2に表示される。出席者端末2に表示される質問の内容は、想定問答により予め生成されていてもよい。
また例えば、生成された質問の内容に基づいて、特許文献の検索が行われてもよい。そして、検索の結果として、類似度の高い技術が記載された1以上の文献が抽出された場合には、検索結果を提示して、「この文献の発明と今議論している発明とはどんなところが違いますか?」といった質問が生成されてもよい。これにより、開発会議Mの時点で、特許要件(例えば新規性や進歩性)に踏み込んだ議論が可能となる。
その結果、効率的な会議の進行が実現されるので、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。 Here, there is no particular limitation on how the hearing is conducted regarding the information lacking in order to specify the invention, and for example, the hearing is conducted in the form of questions.
Specifically, for example, in order to specify an invention, if it is determined that the information on the "effect of the invention" is insufficient, a question such as "What effect can you expect?" is generated. , the question is displayed on the
Further, for example, a patent document search may be performed based on the content of the generated question. Then, when one or more documents describing technologies with a high degree of similarity are extracted as a result of the search, the search results are presented and a message asking, "What is the invention of this document and the invention under discussion?" But is it different?" may be generated. As a result, at the time of the development meeting M, it becomes possible to discuss patent requirements (for example, novelty and inventive step).
As a result, efficient conference proceedings are realized, which contributes to the efficiency of the process from discovering inventions to filing patent applications.
以下、質問生成サービスについて、より具体的に説明する。
上述の例では、開発会議Mの目的は、発明発掘から特許出願することであった。そこで、質問生成サービスで用いられる、情報量の指標として、発明特定スコアが採用されていた。
以下、発明特定スコアの指標の算出に用いられる情報の一例を説明する。
即ち、発明特定スコアの指標の算出に用いられる情報は、特許出願書類に記載される各項目であってよい。具体的には例えば、明細書における先行技術、課題、解決手段、詳細な説明が採用されてもよい。また例えば、図面における具体的な実施形態の図(例えば構造物の分解図や六面図が採用されてもよい。 The question generation service will be described in more detail below.
In the above example, the purpose of the development meeting M was from discovery of inventions to filing of patent applications. Therefore, an invention identification score has been adopted as an index of the amount of information used in the question generation service.
An example of information used to calculate the index of the invention specifying score will be described below.
That is, the information used to calculate the index of the invention specifying score may be each item described in the patent application documents. Specifically, for example, prior art, problems, solutions, and detailed descriptions in the specification may be employed. Further, for example, drawings of specific embodiments in drawings (for example, an exploded view or a six-sided view of a structure may be employed.
上述の例では、開発会議Mの目的は、発明発掘から特許出願することであった。そこで、質問生成サービスで用いられる、情報量の指標として、発明特定スコアが採用されていた。
以下、発明特定スコアの指標の算出に用いられる情報の一例を説明する。
即ち、発明特定スコアの指標の算出に用いられる情報は、特許出願書類に記載される各項目であってよい。具体的には例えば、明細書における先行技術、課題、解決手段、詳細な説明が採用されてもよい。また例えば、図面における具体的な実施形態の図(例えば構造物の分解図や六面図が採用されてもよい。 The question generation service will be described in more detail below.
In the above example, the purpose of the development meeting M was from discovery of inventions to filing of patent applications. Therefore, an invention identification score has been adopted as an index of the amount of information used in the question generation service.
An example of information used to calculate the index of the invention specifying score will be described below.
That is, the information used to calculate the index of the invention specifying score may be each item described in the patent application documents. Specifically, for example, prior art, problems, solutions, and detailed descriptions in the specification may be employed. Further, for example, drawings of specific embodiments in drawings (for example, an exploded view or a six-sided view of a structure may be employed.
なお、質問生成サービスで用いられる、情報量の指標は、開発会議Mの目的により異ならせることができる。具体的には例えば、開発会議Mの目的が、標準化(例えば、ISOやJIS等の標準として仕様を策定すること)である場合には、スコア(指標)としてもよい。
具体的には例えば、標準化を目的とする会議Mにおいて、標準化においてどのようなサポートを要するかの判断が行われる。そこで、そのような段階におけるスコア(指標)の算出に用いられる情報として、以下のような項目が採用される。
即ち例えば、認知度、事業計画との関係性、社内の準備、実績及び業界及び放棄殿関係の項目が、スコア(指標)の算出に用いられる情報として採用される。
換言すれば、これらの情報が収集されることにより、その標準化を行おうとする者(例えば、参加者Aの所属する会社)の標準化において、必要な項目について専門家のサポートを依頼すること等が可能となるのである。
サーバ1は、例えば、認知度の項目に関する情報が不足している場合、以下のような質問を生成する。即ち例えば、「企画を利用したことがあるか」、「企画を作成したことがあるか」、「自社業務に関連する規格を把握しているか」、「規格の普及に資する活動をしたことがあるか」等の質問が生成される。
このように、サーバ1により生成された質問に回答することで、上述の項目の情報が収集される。このような質問と回答を、各項目について繰り返し、スコア(指標)が100%となることで、標準化においてどのようなサポートを要するかの判断が適切に行われるのである。 It should be noted that the index of the amount of information used in the question generation service can be changed according to the purpose of the development meeting M. FIG. Specifically, for example, if the purpose of the development meeting M is standardization (for example, formulating specifications as standards such as ISO and JIS), it may be a score (indicator).
Specifically, for example, at a meeting M aimed at standardization, a decision is made as to what kind of support is required for standardization. Therefore, the following items are adopted as information used for calculating the score (indicator) at such a stage.
That is, for example, items related to awareness, relationship with business plans, internal preparations, achievements, and industry and abandonment are adopted as information used to calculate the score (indicator).
In other words, by collecting this information, it is possible to request expert support for necessary items in the standardization of the person (for example, the company to which Participant A belongs) who is trying to standardize it. It becomes possible.
Theserver 1 generates the following questions, for example, when the information regarding the recognition level item is insufficient. For example, "Have you ever used a plan?", "Have you ever created a plan?", "Have you grasped the standards related to your business?" A question such as "Is there any?" is generated.
By answering the questions generated by theserver 1 in this way, the information on the above items is collected. Such questions and answers are repeated for each item, and when the score (indicator) reaches 100%, it is possible to appropriately determine what kind of support is required for standardization.
具体的には例えば、標準化を目的とする会議Mにおいて、標準化においてどのようなサポートを要するかの判断が行われる。そこで、そのような段階におけるスコア(指標)の算出に用いられる情報として、以下のような項目が採用される。
即ち例えば、認知度、事業計画との関係性、社内の準備、実績及び業界及び放棄殿関係の項目が、スコア(指標)の算出に用いられる情報として採用される。
換言すれば、これらの情報が収集されることにより、その標準化を行おうとする者(例えば、参加者Aの所属する会社)の標準化において、必要な項目について専門家のサポートを依頼すること等が可能となるのである。
サーバ1は、例えば、認知度の項目に関する情報が不足している場合、以下のような質問を生成する。即ち例えば、「企画を利用したことがあるか」、「企画を作成したことがあるか」、「自社業務に関連する規格を把握しているか」、「規格の普及に資する活動をしたことがあるか」等の質問が生成される。
このように、サーバ1により生成された質問に回答することで、上述の項目の情報が収集される。このような質問と回答を、各項目について繰り返し、スコア(指標)が100%となることで、標準化においてどのようなサポートを要するかの判断が適切に行われるのである。 It should be noted that the index of the amount of information used in the question generation service can be changed according to the purpose of the development meeting M. FIG. Specifically, for example, if the purpose of the development meeting M is standardization (for example, formulating specifications as standards such as ISO and JIS), it may be a score (indicator).
Specifically, for example, at a meeting M aimed at standardization, a decision is made as to what kind of support is required for standardization. Therefore, the following items are adopted as information used for calculating the score (indicator) at such a stage.
That is, for example, items related to awareness, relationship with business plans, internal preparations, achievements, and industry and abandonment are adopted as information used to calculate the score (indicator).
In other words, by collecting this information, it is possible to request expert support for necessary items in the standardization of the person (for example, the company to which Participant A belongs) who is trying to standardize it. It becomes possible.
The
By answering the questions generated by the
また例えば会議の目的が営業である場合には、ベテランの営業担当者のノウハウにもとづいてスコア(指標)の項目が設定されてもよい。
この場合、質問生成サービスにより生成された質問は、会議の参加者Aのうち、他の参加者に営業をする者のみに提示される。これにより、営業をする参加者Aは、ベテランの営業担当者がするべき質問を他の参加者Aに行うことで、ベテランさながらの営業活動が可能となる。 Also, for example, if the purpose of the conference is sales, the score (indicator) item may be set based on the know-how of an experienced salesperson.
In this case, the questions generated by the question generation service are presented only to those of the participants A of the conference who sell to other participants. As a result, the participant A, who is in charge of sales, asks the other participants A questions that should be asked by a veteran sales person, thereby making it possible to conduct sales activities like a veteran.
この場合、質問生成サービスにより生成された質問は、会議の参加者Aのうち、他の参加者に営業をする者のみに提示される。これにより、営業をする参加者Aは、ベテランの営業担当者がするべき質問を他の参加者Aに行うことで、ベテランさながらの営業活動が可能となる。 Also, for example, if the purpose of the conference is sales, the score (indicator) item may be set based on the know-how of an experienced salesperson.
In this case, the questions generated by the question generation service are presented only to those of the participants A of the conference who sell to other participants. As a result, the participant A, who is in charge of sales, asks the other participants A questions that should be asked by a veteran sales person, thereby making it possible to conduct sales activities like a veteran.
図5には、本サービスのうち寄与率算出サービスの概要が示されている。
寄与率算出サービスには、開発会議Mの音声のデータから発言者を特定して、その会議における発言の寄与率を発言者(出席者A)毎に算出するサービスが含まれる。
即ち、図5の(A)に示すように、開発会議Mでは、音声のデータが取得される(ステップS41)。
そして、取得された音声のデータに含まれる発言の発言者(出席者A)が特定される(ステップS42)。
すると、発言者として特定された出席者Aを示す情報(以下、「発言者情報」と呼ぶ)と、テーマ情報と、会議における発言者の発言の内容を示す情報(以下、「発言情報」と呼ぶ)とに基づいて、会議における発言の寄与率が発言者(出席者A)毎に算出される(ステップS43)。
これにより、発掘された発明に対する発明者毎の寄与率が自動的に算出される。その結果、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。 FIG. 5 shows an outline of the contribution ratio calculation service of this service.
The contribution rate calculation service includes a service of specifying a speaker from the speech data of the development meeting M and calculating the contribution rate of the speech in the meeting for each speaker (attendee A).
That is, as shown in FIG. 5A, speech data is acquired at the development meeting M (step S41).
Then, the speaker (attendee A) of the speech included in the obtained voice data is identified (step S42).
Then, information indicating the attendee A identified as the speaker (hereinafter referred to as "speaker information"), theme information, and information indicating the contents of statements made by the speaker in the conference (hereinafter referred to as "speech information"). ), the contribution rate of the speech in the conference is calculated for each speaker (attendee A) (step S43).
Thereby, the contribution ratio of each inventor to the discovered invention is automatically calculated. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
寄与率算出サービスには、開発会議Mの音声のデータから発言者を特定して、その会議における発言の寄与率を発言者(出席者A)毎に算出するサービスが含まれる。
即ち、図5の(A)に示すように、開発会議Mでは、音声のデータが取得される(ステップS41)。
そして、取得された音声のデータに含まれる発言の発言者(出席者A)が特定される(ステップS42)。
すると、発言者として特定された出席者Aを示す情報(以下、「発言者情報」と呼ぶ)と、テーマ情報と、会議における発言者の発言の内容を示す情報(以下、「発言情報」と呼ぶ)とに基づいて、会議における発言の寄与率が発言者(出席者A)毎に算出される(ステップS43)。
これにより、発掘された発明に対する発明者毎の寄与率が自動的に算出される。その結果、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。 FIG. 5 shows an outline of the contribution ratio calculation service of this service.
The contribution rate calculation service includes a service of specifying a speaker from the speech data of the development meeting M and calculating the contribution rate of the speech in the meeting for each speaker (attendee A).
That is, as shown in FIG. 5A, speech data is acquired at the development meeting M (step S41).
Then, the speaker (attendee A) of the speech included in the obtained voice data is identified (step S42).
Then, information indicating the attendee A identified as the speaker (hereinafter referred to as "speaker information"), theme information, and information indicating the contents of statements made by the speaker in the conference (hereinafter referred to as "speech information"). ), the contribution rate of the speech in the conference is calculated for each speaker (attendee A) (step S43).
Thereby, the contribution ratio of each inventor to the discovered invention is automatically calculated. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
また、寄与率算出サービスは、開発会議Mで複数の出席者端末2の夫々に入力されたアイディアを、複数の出席者Aの間で共有することができる。
具体的には例えば、図5の(B)に示すように、出席者Aは、出席者端末2(図5の(B)の例ではスマートフォン)の画面に表示された電子付箋Eに自身のアイディアを記載(入力)する。そして、出席者Aは、その電子付箋Eを、出席者端末2の画面からフェードアウトさせるようにスワイプする操作を行う。これにより、電子付箋Eに記載された内容を示す情報が送信されて、会議室に設けられた所定の表示装置H(例えばホワイトボードの機能を有する表示装置)に表示される。具体的には、アイディアが記載された状態の電子付箋Eが、表示装置Hに並べられて表示される。これにより、電子付箋Eに記載された内容を出席者A全員が見ることができる。その結果、会議進行の効率化を図ることができるとともに、いわゆるオンライン会議に対応することができる。
さらに、電子付箋Eに記載されたアイディアの内容は、データ化されて、出席者Aを一意に特定可能な情報(例えばID等)に対応付けられて管理される。このとき、出席者Aと電子付箋Eとを対応付ける手法は特に限定されず、例えば電子付箋Eを送信した出席者端末2から出席者Aを特定してもよい。また、電子付箋Eに記載された名前を画像認識することで出席者Aを特定してもよい。 In addition, the contribution rate calculation service can share ideas input to each of a plurality ofattendee terminals 2 at a development meeting M among a plurality of attendees A. FIG.
Specifically, for example, as shown in FIG. 5B, attendee A writes his/her own electronic sticky note E displayed on the screen of attendee terminal 2 (smartphone in the example of FIG. 5B). Write (input) your idea. Attendee A performs an operation of swiping electronic sticky note E so as to fade it out from the screen ofattendee terminal 2 . As a result, information indicating the content written on the electronic sticky note E is transmitted and displayed on a predetermined display device H (for example, a display device having a whiteboard function) provided in the conference room. Specifically, the electronic sticky notes E on which ideas are written are arranged and displayed on the display device H. FIG. As a result, all attendees A can see the content written on the electronic sticky note E. As a result, the progress of the conference can be made more efficient, and so-called online conferences can be handled.
Furthermore, the content of the idea written on the electronic sticky note E is converted into data and managed in association with information (for example, an ID) that can uniquely identify the attendee A. At this time, the method of associating the attendee A with the electronic sticky note E is not particularly limited, and the attendee A may be specified from theattendee terminal 2 that sent the electronic sticky note E, for example. Alternatively, the attendee A may be identified by image recognition of the name written on the electronic sticky note E. FIG.
具体的には例えば、図5の(B)に示すように、出席者Aは、出席者端末2(図5の(B)の例ではスマートフォン)の画面に表示された電子付箋Eに自身のアイディアを記載(入力)する。そして、出席者Aは、その電子付箋Eを、出席者端末2の画面からフェードアウトさせるようにスワイプする操作を行う。これにより、電子付箋Eに記載された内容を示す情報が送信されて、会議室に設けられた所定の表示装置H(例えばホワイトボードの機能を有する表示装置)に表示される。具体的には、アイディアが記載された状態の電子付箋Eが、表示装置Hに並べられて表示される。これにより、電子付箋Eに記載された内容を出席者A全員が見ることができる。その結果、会議進行の効率化を図ることができるとともに、いわゆるオンライン会議に対応することができる。
さらに、電子付箋Eに記載されたアイディアの内容は、データ化されて、出席者Aを一意に特定可能な情報(例えばID等)に対応付けられて管理される。このとき、出席者Aと電子付箋Eとを対応付ける手法は特に限定されず、例えば電子付箋Eを送信した出席者端末2から出席者Aを特定してもよい。また、電子付箋Eに記載された名前を画像認識することで出席者Aを特定してもよい。 In addition, the contribution rate calculation service can share ideas input to each of a plurality of
Specifically, for example, as shown in FIG. 5B, attendee A writes his/her own electronic sticky note E displayed on the screen of attendee terminal 2 (smartphone in the example of FIG. 5B). Write (input) your idea. Attendee A performs an operation of swiping electronic sticky note E so as to fade it out from the screen of
Furthermore, the content of the idea written on the electronic sticky note E is converted into data and managed in association with information (for example, an ID) that can uniquely identify the attendee A. At this time, the method of associating the attendee A with the electronic sticky note E is not particularly limited, and the attendee A may be specified from the
図6には、本サービスのうち担当者割振サービスの概要が示されている。
担当者割振サービスは、開発会議Mの進行状況を判定して、企業Kの新サービスを実現させるためのテーマの実現に必要となり得る担当者の割り振りを行うサービスのことをいう。 FIG. 6 shows an overview of the person-in-charge allocation service of this service.
The person-in-charge allocation service is a service that judges the progress of the development meeting M and allocates persons in charge who may be necessary for realizing a theme for realizing a new service of the company K. FIG.
担当者割振サービスは、開発会議Mの進行状況を判定して、企業Kの新サービスを実現させるためのテーマの実現に必要となり得る担当者の割り振りを行うサービスのことをいう。 FIG. 6 shows an overview of the person-in-charge allocation service of this service.
The person-in-charge allocation service is a service that judges the progress of the development meeting M and allocates persons in charge who may be necessary for realizing a theme for realizing a new service of the company K. FIG.
即ち、図6に示すように、開発会議Mに関する情報が会議情報として取得される(ステップS51)。
また、開発会議Mの音声のデータが音声情報として取得される(ステップS52)。
すると、取得された音声情報に含まれる所定単位の発言の夫々の発言者(出席者A)が特定される(ステップS53)。
次に、取得された会議情報と、特定された発言者を示す情報と、発言者の発言の内容を示す情報とに基づいて、開発会議Mの進行状況が判定される(ステップS54)。
そして、開発会議Mの進行状況の判定の結果に基づいて、企業Kの新サービスを実現させるためのテーマの実現に必要となり得る担当者(例えば残りのタスクを担当する者として相応しい者)の割り振りが行われる。(ステップS55)。
そして、担当者の割り振りの結果は、対象となる者に提示される。その提示に対して了解が得られた場合には、その割り振りの結果が反映され、了解が得られなかった場合には、割り振り結果を修正するための所定情報の入力が受付けられる(ステップS56)。具体的には例えば、開発会議Mの進行状況の判定の結果、発明を特定するための実施形態についての情報が不足している場合には、開発担当者や、開発会議Mでの発言量が多かった出席者Aを担当者とする割り振りが行われる。また例えば、開発会議Mの進行状況の判定の結果、従来技術についての情報が不足している場合には、先行技術調査を担当した知的財産部門の部員や、知的財産について専門的知見を有する者(例えば弁理士、知財アナリスト等の資格を有する者)を担当者とする割り振りが行われる。
その後、担当者は、割り振られた処理を実行すると、その内容が会議情報として随時記録されて、開発会議Mの進行状況が判定される(ステップS57)。判定の結果、未達の項目が発見された場合には、その項目に係る処理の担当者にアラート情報が報知される(ステップS58)。 That is, as shown in FIG. 6, information about the development meeting M is acquired as meeting information (step S51).
Also, the data of the voice of the development meeting M is acquired as voice information (step S52).
Then, each speaker (attendee A) of each predetermined unit of speech included in the acquired voice information is identified (step S53).
Next, the progress of the development meeting M is determined based on the acquired meeting information, the information indicating the specified speaker, and the information indicating the content of the speaker's speech (step S54).
Then, based on the results of the determination of the progress of the development meeting M, allocation of persons in charge (for example, persons suitable as persons in charge of the remaining tasks) who may be necessary for realizing the theme for realizing the new service of the company K. is done. (Step S55).
The results of assigning personnel are then presented to the target person. If consent is obtained for the presentation, the result of the allocation is reflected, and if consent is not obtained, input of predetermined information for correcting the allocation result is accepted (step S56). . Specifically, for example, as a result of the determination of the progress of the development meeting M, if the information about the embodiment for specifying the invention is insufficient, the amount of remarks at the development meeting M may be reduced. Allocation is performed with attendee A having the largest number of attendees as the person in charge. In addition, for example, if the information on the prior art is insufficient as a result of the progress status determination at the development meeting M, the member of the intellectual property department who was in charge of the prior art search or the expert knowledge on intellectual property (For example, a person who has qualifications such as a patent attorney, an intellectual property analyst, etc.) is assigned to the person in charge.
After that, when the person in charge executes the assigned process, the contents thereof are recorded as meeting information as needed, and the progress of the development meeting M is determined (step S57). As a result of the determination, if an item that has not been reached is found, alert information is notified to the person in charge of processing related to that item (step S58).
また、開発会議Mの音声のデータが音声情報として取得される(ステップS52)。
すると、取得された音声情報に含まれる所定単位の発言の夫々の発言者(出席者A)が特定される(ステップS53)。
次に、取得された会議情報と、特定された発言者を示す情報と、発言者の発言の内容を示す情報とに基づいて、開発会議Mの進行状況が判定される(ステップS54)。
そして、開発会議Mの進行状況の判定の結果に基づいて、企業Kの新サービスを実現させるためのテーマの実現に必要となり得る担当者(例えば残りのタスクを担当する者として相応しい者)の割り振りが行われる。(ステップS55)。
そして、担当者の割り振りの結果は、対象となる者に提示される。その提示に対して了解が得られた場合には、その割り振りの結果が反映され、了解が得られなかった場合には、割り振り結果を修正するための所定情報の入力が受付けられる(ステップS56)。具体的には例えば、開発会議Mの進行状況の判定の結果、発明を特定するための実施形態についての情報が不足している場合には、開発担当者や、開発会議Mでの発言量が多かった出席者Aを担当者とする割り振りが行われる。また例えば、開発会議Mの進行状況の判定の結果、従来技術についての情報が不足している場合には、先行技術調査を担当した知的財産部門の部員や、知的財産について専門的知見を有する者(例えば弁理士、知財アナリスト等の資格を有する者)を担当者とする割り振りが行われる。
その後、担当者は、割り振られた処理を実行すると、その内容が会議情報として随時記録されて、開発会議Mの進行状況が判定される(ステップS57)。判定の結果、未達の項目が発見された場合には、その項目に係る処理の担当者にアラート情報が報知される(ステップS58)。 That is, as shown in FIG. 6, information about the development meeting M is acquired as meeting information (step S51).
Also, the data of the voice of the development meeting M is acquired as voice information (step S52).
Then, each speaker (attendee A) of each predetermined unit of speech included in the acquired voice information is identified (step S53).
Next, the progress of the development meeting M is determined based on the acquired meeting information, the information indicating the specified speaker, and the information indicating the content of the speaker's speech (step S54).
Then, based on the results of the determination of the progress of the development meeting M, allocation of persons in charge (for example, persons suitable as persons in charge of the remaining tasks) who may be necessary for realizing the theme for realizing the new service of the company K. is done. (Step S55).
The results of assigning personnel are then presented to the target person. If consent is obtained for the presentation, the result of the allocation is reflected, and if consent is not obtained, input of predetermined information for correcting the allocation result is accepted (step S56). . Specifically, for example, as a result of the determination of the progress of the development meeting M, if the information about the embodiment for specifying the invention is insufficient, the amount of remarks at the development meeting M may be reduced. Allocation is performed with attendee A having the largest number of attendees as the person in charge. In addition, for example, if the information on the prior art is insufficient as a result of the progress status determination at the development meeting M, the member of the intellectual property department who was in charge of the prior art search or the expert knowledge on intellectual property (For example, a person who has qualifications such as a patent attorney, an intellectual property analyst, etc.) is assigned to the person in charge.
After that, when the person in charge executes the assigned process, the contents thereof are recorded as meeting information as needed, and the progress of the development meeting M is determined (step S57). As a result of the determination, if an item that has not been reached is found, alert information is notified to the person in charge of processing related to that item (step S58).
従来、開発会議Mで検討される発明については、秘匿性が求められるため、どの程度検討が進んでいるのかについては、開発会議Mに出席している出席者A以外の者が把握することは困難であった。このため、例えば開発会議Mに出席者Aとして出席していない社内の知的財産担当者は、発明依頼書が作成されて受け取ったときに初めて把握することができる。これに対して、担当者割振サービスでは、開発会議Mに出席していない者であっても、開発会議Mの内容、開発会議Mで提出されたアイディアの内容を示す資料、開発会議Mの出席者Aの発言内容、検索履歴、開発状況等を示す情報に基づいて、発明の検討がどの程度進んでいるのかを把握することができる。そして、その進行具合に応じて、どのような人材をどこに配置すべきであるのかが示される。
Confidentiality is conventionally required for inventions discussed at the development meeting M, so it is impossible for anyone other than attendee A, who attends the development meeting M, to know how far the study has progressed. It was difficult. Therefore, for example, an in-house person in charge of intellectual property who does not attend the development meeting M as attendee A can grasp it for the first time when the invention request form is prepared and received. On the other hand, in the person-in-charge allocation service, even if a person does not attend the development meeting M, the content of the development meeting M, the materials showing the details of the ideas submitted at the development meeting M, and the attendance at the development meeting M Based on the information indicating the contents of remarks of person A, the search history, the development status, etc., it is possible to grasp how far the examination of the invention has progressed. Then, according to the progress of the project, it indicates what kind of personnel should be placed where.
これにより、出席者Aは、ある発明について特許出願するために到達すべき状態と、現時点の状態との差異を容易に把握することができる。また、どこでスタックしているかを容易に把握することができる。その結果、特許権利化業務を効率よく行うことができる。即ち、特許出願を効率良く行うために必要となる人材の配置が容易化されるので、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。
As a result, attendee A can easily grasp the difference between the state that should be reached in order to file a patent application for a certain invention and the current state. In addition, it is possible to easily grasp where it is stuck. As a result, it is possible to efficiently carry out patent rights acquisition work. In other words, the allocation of personnel required for efficient patent application is facilitated, which contributes to the efficiency of the process from discovering inventions to filing patent applications.
次に、図7を参照して、上述した本サービスの提供を実現化させる情報処理システム、即ち本発明の情報処理装置の一実施形態に係るサーバ1が適用される情報処理システムの構成について説明する。
図7は、本発明の一実施形態に係るサーバが適用される情報処理システムの構成の一例を示す図である。 Next, with reference to FIG. 7, the configuration of an information processing system that realizes the provision of the above-described service, that is, an information processing system to which theserver 1 according to one embodiment of the information processing apparatus of the present invention is applied will be described. do.
FIG. 7 is a diagram showing an example configuration of an information processing system to which a server according to an embodiment of the present invention is applied.
図7は、本発明の一実施形態に係るサーバが適用される情報処理システムの構成の一例を示す図である。 Next, with reference to FIG. 7, the configuration of an information processing system that realizes the provision of the above-described service, that is, an information processing system to which the
FIG. 7 is a diagram showing an example configuration of an information processing system to which a server according to an embodiment of the present invention is applied.
図7に示す情報処理システムは、サーバ1と、出席者端末2とを含むように構成されている。
サーバ1、及び出席者端末2は、インターネット、LAN(Local Area Network)等の所定のネットワークNWを介して相互に接続されている。 The information processing system shown in FIG. 7 is configured to include aserver 1 and attendee terminals 2 .
Theserver 1 and attendee terminals 2 are connected to each other via a predetermined network NW such as the Internet or LAN (Local Area Network).
サーバ1、及び出席者端末2は、インターネット、LAN(Local Area Network)等の所定のネットワークNWを介して相互に接続されている。 The information processing system shown in FIG. 7 is configured to include a
The
サーバ1は、サービス提供者(図示せず)により管理される情報処理装置である。サーバ1は、出席者端末2と適宜通信をしながら、本サービスを実現するための各種処理を実行する。
The server 1 is an information processing device managed by a service provider (not shown). The server 1 performs various processes for realizing this service while appropriately communicating with the attendee terminals 2 .
出席者端末2は、いわゆるリモートで開発会議Mに出席する出席者Aが操作する情報処理装置である。出席者端末2はスマートフォン、タブレット、パーソナルコンピュータ等で構成される。なお、図7には出席者端末2が1台のみ描画されているが、これは説明の理解を助けるために簡略化させたものである。つまり、実際には開発会議Mにリモート形式で出席する出席者Aの数だけ出席者端末2が存在し得る。
The attendee terminal 2 is an information processing device operated by the attendee A who attends the development meeting M remotely. The attendee terminal 2 is composed of a smartphone, tablet, personal computer, or the like. Although only one attendee terminal 2 is drawn in FIG. 7, this is simplified to aid understanding of the explanation. In other words, there may actually be as many attendee terminals 2 as there are attendees A who attend the development meeting M remotely.
図8は、図7に示す情報処理システムのうちサーバのハードウェア構成の一例を示すブロック図である。
FIG. 8 is a block diagram showing an example of the hardware configuration of the server in the information processing system shown in FIG.
サーバ1は、CPU(Central Processing Unit)11と、ROM(Read Only Memory)12と、RAM(Random Access Memory)13と、バス14と、入出力インターフェース15と、入力部16と、出力部17と、記憶部18と、通信部19と、ドライブ20とを備えている。
The server 1 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a bus 14, an input/output interface 15, an input section 16, and an output section 17. , a storage unit 18 , a communication unit 19 and a drive 20 .
CPU11は、ROM12に記録されているプログラム、又は、記憶部18からRAM13にロードされたプログラムに従って各種の処理を実行する。
RAM13には、CPU11が各種の処理を実行する上において必要なデータ等も適宜記憶される。 TheCPU 11 executes various processes according to programs recorded in the ROM 12 or programs loaded from the storage unit 18 to the RAM 13 .
TheRAM 13 also stores data necessary for the CPU 11 to execute various processes.
RAM13には、CPU11が各種の処理を実行する上において必要なデータ等も適宜記憶される。 The
The
CPU11、ROM12及びRAM13は、バス14を介して相互に接続されている。このバス14にはまた、入出力インターフェース15も接続されている。入出力インターフェース15には、入力部16、出力部17、記憶部18、通信部19及びドライブ20が接続されている。
The CPU 11, ROM 12 and RAM 13 are interconnected via a bus 14. An input/output interface 15 is also connected to this bus 14 . An input unit 16 , an output unit 17 , a storage unit 18 , a communication unit 19 and a drive 20 are connected to the input/output interface 15 .
入力部16は、例えばキーボード等により構成され、各種情報を入力する。
出力部17は、液晶等のディスプレイやスピーカ等により構成され、各種情報を画像や音声として出力する。
記憶部18は、DRAM(Dynamic Random Access Memory)等で構成され、各種データを記憶する。
通信部19は、インターネットを含むネットワークNWを介して他の装置(例えば図7の出席者端末2)との間で通信を行う。 Theinput unit 16 is composed of, for example, a keyboard or the like, and inputs various information.
Theoutput unit 17 includes a display such as a liquid crystal display, a speaker, and the like, and outputs various information as images and sounds.
Thestorage unit 18 is composed of a DRAM (Dynamic Random Access Memory) or the like, and stores various data.
Thecommunication unit 19 communicates with another device (for example, the attendee terminal 2 in FIG. 7) via a network NW including the Internet.
出力部17は、液晶等のディスプレイやスピーカ等により構成され、各種情報を画像や音声として出力する。
記憶部18は、DRAM(Dynamic Random Access Memory)等で構成され、各種データを記憶する。
通信部19は、インターネットを含むネットワークNWを介して他の装置(例えば図7の出席者端末2)との間で通信を行う。 The
The
The
The
ドライブ20には、磁気ディスク、光ディスク、光磁気ディスク、或いは半導体メモリ等よりなる、リムーバブルメディア40が適宜装着される。ドライブ20によってリムーバブルメディア40から読み出されたプログラムは、必要に応じて記憶部18にインストールされる。
また、リムーバブルメディア40は、記憶部18に記憶されている各種データも、記憶部18と同様に記憶することができる。 A removable medium 40 such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory is mounted in thedrive 20 as appropriate. A program read from the removable medium 40 by the drive 20 is installed in the storage section 18 as necessary.
The removable medium 40 can also store various data stored in thestorage unit 18 in the same manner as the storage unit 18 .
また、リムーバブルメディア40は、記憶部18に記憶されている各種データも、記憶部18と同様に記憶することができる。 A removable medium 40 such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory is mounted in the
The removable medium 40 can also store various data stored in the
なお、図示はしないが、図7の出席者端末2も図8に示すハードウェア構成と基本的に同様の構成を有することができる。したがって、出席者端末2のハードウェア構成についての説明は省略する。
Although not shown, the attendee terminal 2 in FIG. 7 can also have a configuration basically similar to the hardware configuration shown in FIG. Therefore, description of the hardware configuration of the attendee terminal 2 is omitted.
このような図8のサーバ1が適用される図7の情報処理システムを構成する各種ハードウェアと各種ソフトウェアとの協働により、機能提示処理、抽出条件提示処理、発明特定可否判定処理、質問生成処理、寄与率算出処理、及び担当者割振処理を含む各種処理の実行が可能になる。その結果、サービス提供者は、出席者Aに対して上述の本サービスを提供することができる。
「機能提示処理」とは、所定の対象を実現させるためのテーマを示すテーマ情報を解析して、所定の対象の実現に必要となり得る1以上の機能的要素の候補を提示する処理のことをいう。
「抽出条件提示処理」とは、所定の対象を実現させるためのテーマを示すテーマ情報を解析して、所定の対象に関連し得る先行技術を示す情報を抽出するための情報を生成して提示する処理のことをいう。
「発明特定可否判定処理」とは、所定の発明に関する発明情報からその発明の発明特定情報を抽出して、その発明特定情報で所定の発明を特定できるかどうかの判定を行う処理のことをいう。
「質問生成処理」とは、所定の発明を特定するために追加的に必要となる発明特定情報を特定して、その不足している発明特定情報を取得するための所定の質問を生成する処理のことをいう。
「寄与率算出処理」とは、所定のテーマの会議の音声のデータから発言者を特定して、その会議における発言の寄与率を発言者毎に算出する処理のことをいう。
「担当者割振処理」とは、所定のテーマの会議の進行状況を判定して、そのテーマの実現に必要となり得る担当者の割り振りを行う処理のことをいう。
以下、図9を参照して、図7の情報処理システムを構成する図8のサーバ1において実行される、機能提示処理、抽出条件提示処理、発明特定可否判定処理、質問生成処理、寄与率算出処理、及び担当者割振処理を実行するための機能的構成について説明する。 7 to which theserver 1 of FIG. 8 is applied cooperates with various types of hardware and various types of software, function presentation processing, extraction condition presentation processing, invention specification determination processing, and question generation. processing, contribution rate calculation processing, and person in charge allocation processing. As a result, the service provider can provide attendee A with this service described above.
"Function presentation processing" is a process of analyzing theme information indicating a theme for realizing a predetermined target and presenting candidates for one or more functional elements that may be necessary for realizing the predetermined target. Say.
"Extraction condition presentation processing" analyzes theme information indicating a theme for realizing a predetermined target, and generates and presents information for extracting information indicating prior art that may be related to the predetermined target. It refers to the process of
"Invention specification determination process" refers to a process of extracting invention specification information for a given invention from invention information and determining whether or not the invention specification information can specify a given invention. .
"Question generation processing" is a process of identifying invention specifying information that is additionally required to specify a given invention and generating a given question for acquiring the missing invention specifying information. That's what I mean.
The “contribution rate calculation process” is a process of specifying speakers from voice data of a conference on a predetermined theme and calculating the contribution rate of speech in the conference for each speaker.
"Personnel allocation processing" refers to a process of judging the progress of a conference on a given theme and allocating personnel who may be necessary to realize the theme.
9, function presentation processing, extraction condition presentation processing, invention specifiability determination processing, question generation processing, contribution rate calculation, which are executed in theserver 1 of FIG. 8 constituting the information processing system of FIG. A functional configuration for executing processing and person-in-charge allocation processing will be described.
「機能提示処理」とは、所定の対象を実現させるためのテーマを示すテーマ情報を解析して、所定の対象の実現に必要となり得る1以上の機能的要素の候補を提示する処理のことをいう。
「抽出条件提示処理」とは、所定の対象を実現させるためのテーマを示すテーマ情報を解析して、所定の対象に関連し得る先行技術を示す情報を抽出するための情報を生成して提示する処理のことをいう。
「発明特定可否判定処理」とは、所定の発明に関する発明情報からその発明の発明特定情報を抽出して、その発明特定情報で所定の発明を特定できるかどうかの判定を行う処理のことをいう。
「質問生成処理」とは、所定の発明を特定するために追加的に必要となる発明特定情報を特定して、その不足している発明特定情報を取得するための所定の質問を生成する処理のことをいう。
「寄与率算出処理」とは、所定のテーマの会議の音声のデータから発言者を特定して、その会議における発言の寄与率を発言者毎に算出する処理のことをいう。
「担当者割振処理」とは、所定のテーマの会議の進行状況を判定して、そのテーマの実現に必要となり得る担当者の割り振りを行う処理のことをいう。
以下、図9を参照して、図7の情報処理システムを構成する図8のサーバ1において実行される、機能提示処理、抽出条件提示処理、発明特定可否判定処理、質問生成処理、寄与率算出処理、及び担当者割振処理を実行するための機能的構成について説明する。 7 to which the
"Function presentation processing" is a process of analyzing theme information indicating a theme for realizing a predetermined target and presenting candidates for one or more functional elements that may be necessary for realizing the predetermined target. Say.
"Extraction condition presentation processing" analyzes theme information indicating a theme for realizing a predetermined target, and generates and presents information for extracting information indicating prior art that may be related to the predetermined target. It refers to the process of
"Invention specification determination process" refers to a process of extracting invention specification information for a given invention from invention information and determining whether or not the invention specification information can specify a given invention. .
"Question generation processing" is a process of identifying invention specifying information that is additionally required to specify a given invention and generating a given question for acquiring the missing invention specifying information. That's what I mean.
The “contribution rate calculation process” is a process of specifying speakers from voice data of a conference on a predetermined theme and calculating the contribution rate of speech in the conference for each speaker.
"Personnel allocation processing" refers to a process of judging the progress of a conference on a given theme and allocating personnel who may be necessary to realize the theme.
9, function presentation processing, extraction condition presentation processing, invention specifiability determination processing, question generation processing, contribution rate calculation, which are executed in the
図9は、図7の情報処理システムを構成する図8のサーバの機能的構成のうち、機能提示処理、抽出条件提示処理、発明特定可否判定処理、質問生成処理、寄与率算出処理、及び担当者割振処理を実行するための機能的構成の一例を示す機能ブロック図である。
FIG. 9 shows, of the functional configuration of the server in FIG. 8 that constitutes the information processing system in FIG. FIG. 4 is a functional block diagram showing an example of a functional configuration for executing person allocation processing;
図9に示すように、図8のサーバ1が候補者提案処理を実行する場合、CPU11においては、取得部101と、解析部102と、提示部103と、特定情報抽出部104と、判定部105と、特定部106と、質問生成部107と、寄与率算出部108と、担当者割振部109とが機能する。
As shown in FIG. 9, when the server 1 in FIG. 8 executes candidate proposal processing, the CPU 11 includes an acquisition unit 101, an analysis unit 102, a presentation unit 103, a specific information extraction unit 104, a determination unit 105, a specification unit 106, a question generation unit 107, a contribution calculation unit 108, and a person-in-charge allocation unit 109 function.
また、サーバ1の記憶部18の一領域には、テーマDB181と、発明DB182と、会議DB183と、人材DB184と、抽出条件DB185とが設けられている。
テーマDB181には、テーマ情報が格納されている。発明DB182には、発明情報が格納されている。会議DB183には、会議情報と音声情報とが格納されている。人材DB184には人材情報が格納されている。人材情報には、開発会議Mの出席者を含む、企業Kの役員及び従業員に関する情報が格納されている。抽出条件DB185には、機能的要素Fに対応付けられた検索式が格納されている In one area of thestorage unit 18 of the server 1, a theme DB 181, an invention DB 182, a meeting DB 183, a personnel DB 184, and an extraction condition DB 185 are provided.
Thetheme DB 181 stores theme information. The invention DB 182 stores invention information. The conference DB 183 stores conference information and audio information. Personnel information is stored in the personnel DB 184 . The personnel information stores information about the executives and employees of the company K, including the attendees of the development meeting M. FIG. The extraction condition DB 185 stores search formulas associated with functional elements F.
テーマDB181には、テーマ情報が格納されている。発明DB182には、発明情報が格納されている。会議DB183には、会議情報と音声情報とが格納されている。人材DB184には人材情報が格納されている。人材情報には、開発会議Mの出席者を含む、企業Kの役員及び従業員に関する情報が格納されている。抽出条件DB185には、機能的要素Fに対応付けられた検索式が格納されている In one area of the
The
取得部101は、各種情報を取得する。取得部101では、テーマ取得部111と、発明取得部112と、音声取得部113と、会議取得部114とが機能する。
The acquisition unit 101 acquires various types of information. In acquisition section 101, theme acquisition section 111, invention acquisition section 112, voice acquisition section 113, and conference acquisition section 114 function.
テーマ取得部111は、企業Kの新サービスを実現させるためのテーマを示す情報を、テーマ情報として取得する。テーマ取得部111により取得されたテーマ情報は、テーマDB181に記憶されて管理される。
The theme acquisition unit 111 acquires information indicating a theme for realizing a new service of company K as theme information. The theme information acquired by the theme acquisition unit 111 is stored and managed in the theme DB 181 .
発明取得部112は、所定の発明に関する情報を発明情報として取得する。発明取得部112により取得された発明情報は、発明DB182に記憶されて管理される。
The invention acquisition unit 112 acquires information about a given invention as invention information. The invention information acquired by the invention acquisition unit 112 is stored and managed in the invention DB 182 .
音声取得部113は、企業Kの新サービスを実現化させることをテーマとする会議の音声のデータを音声情報として取得する。
The audio acquisition unit 113 acquires the audio data of the conference with the theme of realizing the new service of company K as audio information.
会議取得部114は、企業Kの新サービスを実現化させることをテーマとする会議に関する会議情報として取得する。
The meeting acquisition unit 114 acquires as meeting information related to a meeting whose theme is to realize a new service of company K.
解析部102は、各種情報の解析を行う。解析部102では、テーマ解析部121と、発明解析部122とが機能する。
The analysis unit 102 analyzes various types of information. In the analysis section 102, a theme analysis section 121 and an invention analysis section 122 function.
テーマ解析部121は、テーマ取得部111により取得されたテーマ情報の解析を行う。
The theme analysis unit 121 analyzes the theme information acquired by the theme acquisition unit 111.
発明解析部122は、発明取得部112により取得された発明情報の解析を行う。
The invention analysis unit 122 analyzes the invention information acquired by the invention acquisition unit 112 .
提示部103は、各種情報を提示する。提示部103では、機能提示部131と、抽出条件提示部132とが機能する。
The presentation unit 103 presents various types of information. In presentation unit 103, function presentation unit 131 and extraction condition presentation unit 132 function.
機能提示部131は、テーマ解析部121による解析の結果に基づいて、企業Kの新サービスを実現させるために必要となる1以上の機能的要素Fの候補を提示する。
The function presentation unit 131 presents candidates for one or more functional elements F that are required to realize the new service of the company K based on the analysis results of the theme analysis unit 121 .
抽出条件提示部132は、テーマ解析部121による解析の結果に基づいて、企業Kの新サービスに関連し得る先行技術を示す抽出条件情報Ipを生成して提示する。抽出条件提示部132により生成された抽出条件情報Ipは、抽出条件DB185に記憶されて管理される。
The extraction condition presentation unit 132 generates and presents extraction condition information Ip indicating prior art that may be related to the new service of company K, based on the analysis results of the theme analysis unit 121 . The extraction condition information Ip generated by the extraction condition presentation unit 132 is stored and managed in the extraction condition DB 185 .
特定情報抽出部104は、発明解析部122による解析の結果に基づいて、所定の発明の発明情報のうち発明特定情報を抽出する。
Based on the analysis result of the invention analysis unit 122, the identification information extraction unit 104 extracts the invention identification information from the invention information of the predetermined invention.
判定部105は、各種判定を行う。判定部105では、特定判定部151と、状況判定部152とが機能する。
The determination unit 105 makes various determinations. In determination unit 105, specific determination unit 151 and situation determination unit 152 function.
特定判定部151は、特定情報抽出部104により抽出された発明特定情報で所定の発明を特定できるかどうかの判定を行う。
The identification determination unit 151 determines whether or not the invention identification information extracted by the identification information extraction unit 104 can identify a given invention.
状況判定部152は、会議取得部114により取得された会議情報と、発言主として特定された発言者の発言者情報と、その発言者による発言の内容を示す発言情報とに基づいて、開発会議Mの進行状況を判定する。
The situation determination unit 152 determines whether the development meeting M determine the progress of
特定部106は、各種特定を行う。特定部106では、不足特定部161と、発言者特定部162とが機能する。
The identification unit 106 performs various identifications. In the identification unit 106, a shortage identification unit 161 and a speaker identification unit 162 function.
不足特定部161は、特定判定部151による判定の結果に基づいて、所定の発明を特定するために追加的に必要となる発明特定情報を特定する。
Based on the result of the determination by the identification determination unit 151, the lack identification unit 161 identifies invention identification information that is additionally required to identify a given invention.
発言者特定部162は、音声取得部113により取得された音声情報に含まれる所定単位の発言の夫々の発言者を特定する。
The speaker identification unit 162 identifies the speaker of each predetermined unit of speech included in the audio information acquired by the audio acquisition unit 113 .
質問生成部107は、不足特定部161により特定された発明特定情報を取得するための所定の質問を生成する。
The question generation unit 107 generates a predetermined question for acquiring the invention specifying information specified by the shortage specifying unit 161.
寄与率算出部108は、発言者特定部162により特定された発言者を示す発言者情報と、会議のテーマを示すテーマ情報と、発言者の発言の内容を示す発言情報とに基づいて、会議における発言の寄与率を発言者毎に算出する。
Contribution rate calculation section 108 performs a conference based on speaker information indicating the speaker identified by speaker identification section 162, theme information indicating the theme of the conference, and statement information indicating the content of the statement of the speaker. Calculate the contribution rate of the utterance in each utterance.
担当者割振部109は、状況判定部152による判定の結果に基づいて、企業Kの新サービスを実現させるためのテーマの実現に必要となり得る担当者の割り振りを行う。
The person-in-charge allocation unit 109 allocates persons in charge who may be necessary for realizing the theme for realizing the new service of company K, based on the determination result of the situation determination unit 152 .
図8の情報処理装置が図9の機能的構成を有することにより機能提示処理、抽出条件提示処理、発明特定可否判定処理、質問生成処理、寄与率算出処理、及び担当者割振処理が実行することができる。
これにより、企業Kの新サービスを実現させるというテーマからの発明の発掘が容易になる。その結果、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。
また、開発会議Mの場で、漏れのない先行技術調査が可能となる。
また、開発会議Mの場で、特許出願するために到達すべき状態と、現時点における状態との差異の把握とが容易になる。
また、開発会議の場で、発明を特定するために不足している情報についてのヒアリングが可能となる。
また、発掘された発明に対する発明者の寄与率が自動的に算出される。
また、特許出願を効率良く行うために必要となる人材の配置が容易になる。
その結果、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。 The information processing apparatus of FIG. 8 having the functional configuration of FIG. 9 executes function presentation processing, extraction condition presentation processing, invention specification determination processing, question generation processing, contribution rate calculation processing, and person in charge assignment processing. can be done.
This makes it easier to discover inventions based on the theme of realizing new services for company K. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
Also, at the development meeting M, it is possible to conduct a thorough prior art search.
Also, at the development meeting M, it becomes easy to grasp the difference between the state to be reached in order to file a patent application and the current state.
Also, at the development meeting, it is possible to ask about information that is lacking in order to specify the invention.
In addition, the inventor's contribution rate to the discovered invention is automatically calculated.
In addition, it becomes easier to allocate the personnel necessary for efficiently filing patent applications.
As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
これにより、企業Kの新サービスを実現させるというテーマからの発明の発掘が容易になる。その結果、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。
また、開発会議Mの場で、漏れのない先行技術調査が可能となる。
また、開発会議Mの場で、特許出願するために到達すべき状態と、現時点における状態との差異の把握とが容易になる。
また、開発会議の場で、発明を特定するために不足している情報についてのヒアリングが可能となる。
また、発掘された発明に対する発明者の寄与率が自動的に算出される。
また、特許出願を効率良く行うために必要となる人材の配置が容易になる。
その結果、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。 The information processing apparatus of FIG. 8 having the functional configuration of FIG. 9 executes function presentation processing, extraction condition presentation processing, invention specification determination processing, question generation processing, contribution rate calculation processing, and person in charge assignment processing. can be done.
This makes it easier to discover inventions based on the theme of realizing new services for company K. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
Also, at the development meeting M, it is possible to conduct a thorough prior art search.
Also, at the development meeting M, it becomes easy to grasp the difference between the state to be reached in order to file a patent application and the current state.
Also, at the development meeting, it is possible to ask about information that is lacking in order to specify the invention.
In addition, the inventor's contribution rate to the discovered invention is automatically calculated.
In addition, it becomes easier to allocate the personnel necessary for efficiently filing patent applications.
As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
以上、本発明の一実施形態について説明したが、本発明は、上述の実施形態に限定されるものではなく、本発明の目的を達成できる範囲での変形、改良等は本発明に含まれるものとみなす。
Although one embodiment of the present invention has been described above, the present invention is not limited to the above-described embodiment, and modifications, improvements, etc. within the range that can achieve the object of the present invention are included in the present invention. Consider.
例えば、上述の実施形態では、企業Kの開発会議Mの形式としてリモート形式が採用されているが、これに限定されず、企業Kの現実世界の会議室等で対面する対面形式であってもよい。対面形式の場合、開発会議Mが開催される会議室等に、出席者Aの音声を録音可能なマイク装置(図示せず)が設置される。そして、録音された音声のデータが音声情報としてサーバ1により取得される。なお、開発会議Mの形式は、出席者Aの個々の状況(例えば通勤、在宅勤務)に合わせて任意に選択することができるものとする。
For example, in the above-described embodiment, the remote format is adopted as the format of the development meeting M of the company K, but it is not limited to this. good. In the case of the face-to-face format, a microphone device (not shown) capable of recording the voice of the attendee A is installed in a conference room or the like where the development conference M is held. Data of the recorded voice is acquired by the server 1 as voice information. The format of the development meeting M can be arbitrarily selected according to the individual situation of the attendee A (for example, commuting to work or working from home).
また、例えば、上述の実施形態では、企業Kの開発会議Mを前提として説明したが、特にこれに限定されない。
即ち、例えば、講義を行う講師が参加者Aとして、利用することができる。この場合、例えば、参加者Aは、質問生成サービスのスコア(指標)を利用することで、講義において必要な項目を講義したか否かを把握しながら講義をすることができる。
また例えば、上述の各サービス(機能)は、営業担当者と、営業先の担当者との2名で行われるテレビ会議においても有用である。
また例えば、上述の各サービス(機能)は、リモート形式のテレビ通話システムを模した練習システムの一サービス(機能)として採用されてもよい。即ち例えば、営業経験の浅い営業担当者が参加者Aとして、1名で利用することができる。この場合、参加者Aは、他の参加者Aがいると想定して、練習システムを用いて営業トーク等を行う。このとき、例えば、参加者Aは、上述の質問生成サービスのスコア(指標)を利用することで、営業トークの練習をすることができる。 Further, for example, in the above-described embodiment, the explanation was given on the premise that the development meeting M of the company K was held, but the present invention is not particularly limited to this.
That is, for example, a lecturer giving a lecture can be used as a participant A. In this case, for example, by using the score (indicator) of the question generation service, the participant A can give the lecture while grasping whether or not the necessary items have been lectured in the lecture.
Further, for example, each of the services (functions) described above is also useful in a video conference between a sales representative and a sales partner.
Further, for example, each of the services (functions) described above may be adopted as one service (function) of a practice system imitating a remote-type video call system. That is, for example, a person in charge of sales who has little sales experience can use the system as a participant A alone. In this case, Participant A assumes that there is another Participant A, and uses the practice system to give sales talks. At this time, for example, the participant A can practice sales talk by using the score (index) of the question generation service described above.
即ち、例えば、講義を行う講師が参加者Aとして、利用することができる。この場合、例えば、参加者Aは、質問生成サービスのスコア(指標)を利用することで、講義において必要な項目を講義したか否かを把握しながら講義をすることができる。
また例えば、上述の各サービス(機能)は、営業担当者と、営業先の担当者との2名で行われるテレビ会議においても有用である。
また例えば、上述の各サービス(機能)は、リモート形式のテレビ通話システムを模した練習システムの一サービス(機能)として採用されてもよい。即ち例えば、営業経験の浅い営業担当者が参加者Aとして、1名で利用することができる。この場合、参加者Aは、他の参加者Aがいると想定して、練習システムを用いて営業トーク等を行う。このとき、例えば、参加者Aは、上述の質問生成サービスのスコア(指標)を利用することで、営業トークの練習をすることができる。 Further, for example, in the above-described embodiment, the explanation was given on the premise that the development meeting M of the company K was held, but the present invention is not particularly limited to this.
That is, for example, a lecturer giving a lecture can be used as a participant A. In this case, for example, by using the score (indicator) of the question generation service, the participant A can give the lecture while grasping whether or not the necessary items have been lectured in the lecture.
Further, for example, each of the services (functions) described above is also useful in a video conference between a sales representative and a sales partner.
Further, for example, each of the services (functions) described above may be adopted as one service (function) of a practice system imitating a remote-type video call system. That is, for example, a person in charge of sales who has little sales experience can use the system as a participant A alone. In this case, Participant A assumes that there is another Participant A, and uses the practice system to give sales talks. At this time, for example, the participant A can practice sales talk by using the score (index) of the question generation service described above.
また、図7に示すシステム構成、及び図8に示すサーバ1のハードウェア構成は、本発明の目的を達成するための例示に過ぎず、特に限定されない。
Also, the system configuration shown in FIG. 7 and the hardware configuration of the server 1 shown in FIG. 8 are merely examples for achieving the object of the present invention, and are not particularly limited.
また、図9に示す機能ブロック図は、例示に過ぎず、特に限定されない。即ち、上述した機能提示処理、抽出条件提示処理、発明特定可否判定処理、質問生成処理、寄与率算出処理、及び担当者割振処理を全体として実行できる機能が図7の情報処理システムに備えられていれば足り、この機能を実現するためにどのような機能ブロック及びデータベースを用いるのかは、特に図9の例に限定されない。
Also, the functional block diagram shown in FIG. 9 is merely an example and is not particularly limited. That is, the information processing system of FIG. 7 is provided with a function capable of executing the function presentation process, the extraction condition presentation process, the invention specification determination process, the question generation process, the contribution rate calculation process, and the person-in-charge allocation process as a whole. is sufficient, and what kind of functional blocks and database are used to realize this function are not particularly limited to the example in FIG.
また、機能ブロック及びデータベースの存在場所も、図9に限定されず、任意でよい。
図9の例で、機能提示処理、抽出条件提示処理、発明特定可否判定処理、質問生成処理、寄与率算出処理、及び担当者割振処理は、図7の情報処理システムを構成する図8のサーバ1のCPU11の制御により行われる構成となっているが、これに限定されない。例えばサーバ1側に配置された機能ブロック及びデータベースの少なくとも一部を、出席者端末2側、又は図示せぬ他の情報処理装置が備える構成としてもよい。 Also, the locations of the functional blocks and the database are not limited to those shown in FIG. 9, and may be arbitrary.
In the example of FIG. 9, the function presentation process, the extraction condition presentation process, the invention specification determination process, the question generation process, the contribution rate calculation process, and the person in charge allocation process are carried out by the server in FIG. 8 that constitutes the information processing system in FIG. Although it is configured to be performed under the control of theCPU 11 of No. 1, it is not limited to this. For example, at least part of the functional blocks and database arranged on the server 1 side may be provided on the attendee terminal 2 side or another information processing device (not shown).
図9の例で、機能提示処理、抽出条件提示処理、発明特定可否判定処理、質問生成処理、寄与率算出処理、及び担当者割振処理は、図7の情報処理システムを構成する図8のサーバ1のCPU11の制御により行われる構成となっているが、これに限定されない。例えばサーバ1側に配置された機能ブロック及びデータベースの少なくとも一部を、出席者端末2側、又は図示せぬ他の情報処理装置が備える構成としてもよい。 Also, the locations of the functional blocks and the database are not limited to those shown in FIG. 9, and may be arbitrary.
In the example of FIG. 9, the function presentation process, the extraction condition presentation process, the invention specification determination process, the question generation process, the contribution rate calculation process, and the person in charge allocation process are carried out by the server in FIG. 8 that constitutes the information processing system in FIG. Although it is configured to be performed under the control of the
また、上述した一連の処理は、ハードウェアにより実行させることもできるし、ソフトウェアにより実行させることもできる。
また、1つの機能ブロックは、ハードウェア単体で構成してもよいし、ソフトウェア単体で構成してもよいし、それらの組み合わせで構成してもよい。 Also, the series of processes described above can be executed by hardware or by software.
Also, one functional block may be composed of hardware alone, software alone, or a combination thereof.
また、1つの機能ブロックは、ハードウェア単体で構成してもよいし、ソフトウェア単体で構成してもよいし、それらの組み合わせで構成してもよい。 Also, the series of processes described above can be executed by hardware or by software.
Also, one functional block may be composed of hardware alone, software alone, or a combination thereof.
一連の処理をソフトウェアにより実行させる場合には、そのソフトウェアを構成するプログラムが、コンピュータ等にネットワークや記録媒体からインストールされる。
コンピュータは、専用のハードウェアに組み込まれているコンピュータであってもよい。
また、コンピュータは、各種のプログラムをインストールすることで、各種の機能を実行することが可能なコンピュータ、例えばサーバの他汎用のスマートフォンやパーソナルコンピュータであってもよい。 When a series of processes is to be executed by software, a program constituting the software is installed in a computer or the like from a network or a recording medium.
The computer may be a computer built into dedicated hardware.
Also, the computer may be a computer capable of executing various functions by installing various programs, such as a server, a general-purpose smart phone, or a personal computer.
コンピュータは、専用のハードウェアに組み込まれているコンピュータであってもよい。
また、コンピュータは、各種のプログラムをインストールすることで、各種の機能を実行することが可能なコンピュータ、例えばサーバの他汎用のスマートフォンやパーソナルコンピュータであってもよい。 When a series of processes is to be executed by software, a program constituting the software is installed in a computer or the like from a network or a recording medium.
The computer may be a computer built into dedicated hardware.
Also, the computer may be a computer capable of executing various functions by installing various programs, such as a server, a general-purpose smart phone, or a personal computer.
このようなプログラムを含む記録媒体は、ユーザにプログラムを提供するために装置本体とは別に配布される図示せぬリムーバブルメディアにより構成されるだけでなく、装置本体に予め組み込まれた状態でユーザに提供される記録媒体等で構成される。
A recording medium containing such a program not only consists of a removable medium (not shown) that is distributed separately from the main body of the device in order to provide the program to the user, but also is preinstalled in the main body of the device and is delivered to the user. It consists of a provided recording medium, etc.
なお、本明細書において、記録媒体に記録されるプログラムを記述するステップは、その順序に沿って時系列的に行われる処理はもちろん、必ずしも時系列的に処理されなくとも、並列的あるいは個別に実行される処理をも含むものである。
In this specification, the steps of writing a program recorded on a recording medium are not necessarily processed chronologically according to the order, but may be executed in parallel or individually. It also includes the processing to be executed.
以上をまとめると、本発明が適用される情報処理装置は、次のような構成を有していれば足り、各種各様な実施の形態を取ることができる。
即ち、本発明が適用される情報処理装置(例えば図9のサーバ1)は、
所定の対象(例えば図2の新サービス)を実現させるためのテーマを示す情報を、テーマ情報(例えば図2のテーマ情報)として取得するテーマ取得手段(例えば図9のテーマ取得部111)と、
前記テーマ情報の解析を行うテーマ解析手段(例えば図9のテーマ解析部121)と、
前記解析の結果に基づいて、前記所定の対象の実現に必要となり得る1以上の機能的要素(例えば図2の機能的要素F)の候補を提示する機能提示手段(例えば図9の機能提示部131)と、
備える。 In summary, the information processing apparatus to which the present invention is applied only needs to have the following configuration, and can take various forms.
That is, an information processing apparatus (for example, theserver 1 in FIG. 9) to which the present invention is applied is
theme acquisition means (for example, thetheme acquisition unit 111 in FIG. 9) for acquiring information indicating a theme for realizing a predetermined target (for example, the new service in FIG. 2) as theme information (for example, the theme information in FIG. 2);
theme analysis means for analyzing the theme information (for example, thetheme analysis unit 121 in FIG. 9);
A function presenting means (for example, a function presenting section in FIG. 9) that presents candidates for one or more functional elements (for example, functional element F in FIG. 2) that may be necessary for realizing the predetermined object based on the result of the analysis. 131) and
Prepare.
即ち、本発明が適用される情報処理装置(例えば図9のサーバ1)は、
所定の対象(例えば図2の新サービス)を実現させるためのテーマを示す情報を、テーマ情報(例えば図2のテーマ情報)として取得するテーマ取得手段(例えば図9のテーマ取得部111)と、
前記テーマ情報の解析を行うテーマ解析手段(例えば図9のテーマ解析部121)と、
前記解析の結果に基づいて、前記所定の対象の実現に必要となり得る1以上の機能的要素(例えば図2の機能的要素F)の候補を提示する機能提示手段(例えば図9の機能提示部131)と、
備える。 In summary, the information processing apparatus to which the present invention is applied only needs to have the following configuration, and can take various forms.
That is, an information processing apparatus (for example, the
theme acquisition means (for example, the
theme analysis means for analyzing the theme information (for example, the
A function presenting means (for example, a function presenting section in FIG. 9) that presents candidates for one or more functional elements (for example, functional element F in FIG. 2) that may be necessary for realizing the predetermined object based on the result of the analysis. 131) and
Prepare.
つまり、所定の対象を実現させるためのテーマを示す情報が、テーマ情報として取得されると、取得されたテーマ情報の解析が行われる。そして、その解析の結果に基づいて、所定の対象の実現に必要となり得る1以上の機能的要素の候補が提示される。
これにより、所定の対象を実現させるためのテーマからの発明の発掘が容易になる。その結果、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。 That is, when information indicating a theme for realizing a predetermined target is acquired as theme information, the acquired theme information is analyzed. Then, based on the analysis results, one or more candidates for functional elements that may be required to achieve a given target are presented.
This makes it easier to discover inventions from the theme for realizing a predetermined target. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
これにより、所定の対象を実現させるためのテーマからの発明の発掘が容易になる。その結果、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。 That is, when information indicating a theme for realizing a predetermined target is acquired as theme information, the acquired theme information is analyzed. Then, based on the analysis results, one or more candidates for functional elements that may be required to achieve a given target are presented.
This makes it easier to discover inventions from the theme for realizing a predetermined target. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
また、本発明が適用される情報処理装置は、
所定の対象を実現させるためのテーマを示す情報を、テーマ情報として取得するテーマ取得手段(例えば図9のテーマ取得部111)と、
前記テーマ情報の解析を行うテーマ解析手段(例えば図9のテーマ解析部121)と、
前記解析の結果に基づいて、前記所定の対象に関連し得る先行技術抽出するための情報(例えば図2の抽出条件情報Ip)を生成して提示する抽出条件提示手段(例えば図9の抽出条件提示部132)と、
備える。 Further, an information processing device to which the present invention is applied is
theme acquisition means (for example, thetheme acquisition unit 111 in FIG. 9) for acquiring, as theme information, information indicating a theme for realizing a predetermined target;
theme analysis means for analyzing the theme information (for example, thetheme analysis unit 121 in FIG. 9);
Extraction condition presenting means (for example, the extraction conditions in FIG. 9) for generating and presenting information for extracting prior art (for example, the extraction condition information Ip in FIG. 2) that may be related to the predetermined target based on the results of the analysis a presentation unit 132);
Prepare.
所定の対象を実現させるためのテーマを示す情報を、テーマ情報として取得するテーマ取得手段(例えば図9のテーマ取得部111)と、
前記テーマ情報の解析を行うテーマ解析手段(例えば図9のテーマ解析部121)と、
前記解析の結果に基づいて、前記所定の対象に関連し得る先行技術抽出するための情報(例えば図2の抽出条件情報Ip)を生成して提示する抽出条件提示手段(例えば図9の抽出条件提示部132)と、
備える。 Further, an information processing device to which the present invention is applied is
theme acquisition means (for example, the
theme analysis means for analyzing the theme information (for example, the
Extraction condition presenting means (for example, the extraction conditions in FIG. 9) for generating and presenting information for extracting prior art (for example, the extraction condition information Ip in FIG. 2) that may be related to the predetermined target based on the results of the analysis a presentation unit 132);
Prepare.
つまり、所定の対象を実現させるためのテーマを示す情報が、テーマ情報として取得されると、取得されたテーマ情報の解析が行われる。そして、その解析の結果に基づいて、所定の対象に関連し得る先行技術を示す情報を抽出するための情報が取得されて提示される。
これにより、開発会議の場で、漏れのない先行技術調査が可能となる。その結果、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。 That is, when information indicating a theme for realizing a predetermined target is acquired as theme information, the acquired theme information is analyzed. Then, based on the results of the analysis, information is obtained and presented for extracting information indicative of prior art that may be relevant to the given subject matter.
As a result, prior art searches without omissions are possible at development meetings. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
これにより、開発会議の場で、漏れのない先行技術調査が可能となる。その結果、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。 That is, when information indicating a theme for realizing a predetermined target is acquired as theme information, the acquired theme information is analyzed. Then, based on the results of the analysis, information is obtained and presented for extracting information indicative of prior art that may be relevant to the given subject matter.
As a result, prior art searches without omissions are possible at development meetings. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
また、本発明が適用される情報処理装置は、
所定の発明に関する情報を、発明情報(例えば図2の発明情報)として取得する発明取得手段(例えば図9の発明取得部112)と、
前記発明情報の解析を行う発明解析手段(例えば図9の発明解析部122)と、
前記発明解析手段による前記解析の結果に基づいて、前記発明情報のうち前記発明の特定に必要となる1以上の情報を、発明特定情報(例えば図2の発明特定情報)として抽出する特定情報抽出手段(例えば図9の特定情報抽出部104)と、
抽出された前記発明特定情報で前記所定の発明を特定できるかどうかの判定を行う判定手段(例えば図9の特定判定部151)と、
備える。 Further, an information processing device to which the present invention is applied is
invention acquisition means (for example,invention acquisition unit 112 in FIG. 9) for acquiring information about a given invention as invention information (for example, invention information in FIG. 2);
Invention analysis means for analyzing the invention information (for example,invention analysis unit 122 in FIG. 9);
Specific information extraction for extracting one or more pieces of information necessary for specifying the invention from the invention information as invention specifying information (for example, invention specifying information in FIG. 2) based on the result of the analysis by the invention analyzing means. means (for example, the specificinformation extraction unit 104 in FIG. 9);
determination means (for example, theidentification determination unit 151 in FIG. 9) for determining whether or not the predetermined invention can be identified by the extracted invention identification information;
Prepare.
所定の発明に関する情報を、発明情報(例えば図2の発明情報)として取得する発明取得手段(例えば図9の発明取得部112)と、
前記発明情報の解析を行う発明解析手段(例えば図9の発明解析部122)と、
前記発明解析手段による前記解析の結果に基づいて、前記発明情報のうち前記発明の特定に必要となる1以上の情報を、発明特定情報(例えば図2の発明特定情報)として抽出する特定情報抽出手段(例えば図9の特定情報抽出部104)と、
抽出された前記発明特定情報で前記所定の発明を特定できるかどうかの判定を行う判定手段(例えば図9の特定判定部151)と、
備える。 Further, an information processing device to which the present invention is applied is
invention acquisition means (for example,
Invention analysis means for analyzing the invention information (for example,
Specific information extraction for extracting one or more pieces of information necessary for specifying the invention from the invention information as invention specifying information (for example, invention specifying information in FIG. 2) based on the result of the analysis by the invention analyzing means. means (for example, the specific
determination means (for example, the
Prepare.
つまり、所定の発明に関する情報が発明情報として取得されると、取得された発明情報の解析が行われる。そして、その解析の結果に基づいて、取得された発明情報のうち所定の発明の特定に必要となる1以上の情報が、発明特定情報として抽出される。そして、その発明特定情報で所定の発明を特定できるかどうかの判定が行われる。
これにより、開発会議の場で、特許出願するために到達すべき状態と、現時点における状態との差異の把握が容易化される。その結果、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。 That is, when information about a predetermined invention is acquired as invention information, the acquired invention information is analyzed. Then, based on the result of the analysis, one or more pieces of information necessary for specifying a predetermined invention are extracted as invention specifying information from among the acquired invention information. Then, it is determined whether or not the invention specifying information can specify a given invention.
This makes it easier to grasp the difference between the state to be reached in order to file a patent application and the current state at the development meeting. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
これにより、開発会議の場で、特許出願するために到達すべき状態と、現時点における状態との差異の把握が容易化される。その結果、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。 That is, when information about a predetermined invention is acquired as invention information, the acquired invention information is analyzed. Then, based on the result of the analysis, one or more pieces of information necessary for specifying a predetermined invention are extracted as invention specifying information from among the acquired invention information. Then, it is determined whether or not the invention specifying information can specify a given invention.
This makes it easier to grasp the difference between the state to be reached in order to file a patent application and the current state at the development meeting. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
また、前記判定手段による前記判定の結果に基づいて、前記所定の発明を特定するために追加的に必要となる発明特定情報を特定する不足特定手段(例えば図9の不足特定部161)と、
特定された発明特定情報を取得するための所定の質問を生成する質問生成手段(例えば図9の質問生成部107)と、
をさらに備えることができる。 Also, shortage specifying means (for example,shortage specifying section 161 in FIG. 9) for specifying invention specifying information additionally required for specifying the predetermined invention based on the result of the determination by the determining means;
question generation means (for example, thequestion generation unit 107 in FIG. 9) for generating a predetermined question for acquiring the identified invention specifying information;
can be further provided.
特定された発明特定情報を取得するための所定の質問を生成する質問生成手段(例えば図9の質問生成部107)と、
をさらに備えることができる。 Also, shortage specifying means (for example,
question generation means (for example, the
can be further provided.
つまり、抽出された発明特定情報で所定の発明を特定できるかどうかの判定の結果に基づいて、所定の発明を特定するために追加的に必要となる発明特定情報が特定される。そして、特定された発明特定情報を取得するための所定の質問が生成される。
これにより、開発会議の場で、発明を特定するために不足している情報についてのヒアリングが可能となる。その結果、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。 In other words, the invention specifying information that is additionally required to specify the specified invention is specified based on the result of determination as to whether or not the extracted invention specifying information can specify the specified invention. Then, a predetermined question is generated for obtaining the specified invention specifying information.
As a result, it becomes possible to ask about information that is lacking in order to specify the invention at the development meeting. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
これにより、開発会議の場で、発明を特定するために不足している情報についてのヒアリングが可能となる。その結果、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。 In other words, the invention specifying information that is additionally required to specify the specified invention is specified based on the result of determination as to whether or not the extracted invention specifying information can specify the specified invention. Then, a predetermined question is generated for obtaining the specified invention specifying information.
As a result, it becomes possible to ask about information that is lacking in order to specify the invention at the development meeting. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
また、本発明が適用される情報処理装置は、
所定のテーマの会議の音声のデータを、音声情報(例えば図2の音声情報)として取得する音声取得手段(例えば図9の音声取得部113)と、
取得された前記音声情報に含まれる所定単位の発言の夫々の発言者を特定する発言者特定手段(例えば図9の発言者特定部162)と、
前記発言者特定手段により特定された前記発言者を示す情報(例えば図2の発言者情報)と、前記会議のテーマを示す情報(例えば図2のテーマ情報)と、前記発言の内容を示す情報(例えば図2の発言情報)とに基づいて、前記会議における発言の寄与率を前記発言者毎に算出する寄与率算出手段(例えば図9の寄与率算出部108)と、
を備える。 Further, an information processing device to which the present invention is applied is
voice acquisition means (for example, thevoice acquisition unit 113 in FIG. 9) that acquires voice data of a conference on a predetermined theme as voice information (for example, voice information in FIG. 2);
speaker identification means (for example,speaker identification unit 162 in FIG. 9) for identifying each speaker of a predetermined unit of speech included in the acquired voice information;
Information indicating the speaker identified by the speaker identification means (e.g., speaker information in FIG. 2), information indicating the theme of the conference (e.g., theme information in FIG. 2), and information indicating the content of the speech (for example, the statement information in FIG. 2), a contribution rate calculation means (for example, the contributionrate calculation unit 108 in FIG. 9) that calculates the contribution rate of the statement in the conference for each speaker;
Prepare.
所定のテーマの会議の音声のデータを、音声情報(例えば図2の音声情報)として取得する音声取得手段(例えば図9の音声取得部113)と、
取得された前記音声情報に含まれる所定単位の発言の夫々の発言者を特定する発言者特定手段(例えば図9の発言者特定部162)と、
前記発言者特定手段により特定された前記発言者を示す情報(例えば図2の発言者情報)と、前記会議のテーマを示す情報(例えば図2のテーマ情報)と、前記発言の内容を示す情報(例えば図2の発言情報)とに基づいて、前記会議における発言の寄与率を前記発言者毎に算出する寄与率算出手段(例えば図9の寄与率算出部108)と、
を備える。 Further, an information processing device to which the present invention is applied is
voice acquisition means (for example, the
speaker identification means (for example,
Information indicating the speaker identified by the speaker identification means (e.g., speaker information in FIG. 2), information indicating the theme of the conference (e.g., theme information in FIG. 2), and information indicating the content of the speech (for example, the statement information in FIG. 2), a contribution rate calculation means (for example, the contribution
Prepare.
つまり、所定のテーマの会議の音声のデータが、音声情報として取得されると、取得された音声情報に含まれる所定単位の発言の夫々の発言者が特定される。そして、発言者として特定された者を示す情報と、会議のテーマを示す情報と、会議における発言者の発言の内容を示す情報とに基づいて、会議における発言の寄与率が発言者毎に算出される。
これにより、発掘された発明に対する発明者の寄与率が自動的に算出される。その結果、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。 That is, when voice data of a conference on a predetermined theme is acquired as voice information, each speaker of a predetermined unit of speech included in the acquired voice information is identified. Then, based on the information indicating the person specified as the speaker, the information indicating the theme of the conference, and the information indicating the content of the speech of the speaker in the conference, the contribution rate of the speech in the conference is calculated for each speaker. be done.
Thereby, the inventor's contribution rate to the discovered invention is automatically calculated. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
これにより、発掘された発明に対する発明者の寄与率が自動的に算出される。その結果、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。 That is, when voice data of a conference on a predetermined theme is acquired as voice information, each speaker of a predetermined unit of speech included in the acquired voice information is identified. Then, based on the information indicating the person specified as the speaker, the information indicating the theme of the conference, and the information indicating the content of the speech of the speaker in the conference, the contribution rate of the speech in the conference is calculated for each speaker. be done.
Thereby, the inventor's contribution rate to the discovered invention is automatically calculated. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
また、本発明が適用される情報処理装置は、
所定のテーマの会議に関する情報を、会議情報(例えば図2の会議情報)として取得する会議取得手段(例えば図9の会議取得部114)と、
開催された前記会議の音声のデータを、音声情報として取得する音声取得手段(例えば図9の音声取得部113)と、
取得された前記音声情報に含まれる所定単位の発言の夫々の発言者を特定する発言者特定手段(例えば図9の発言者特定部162)と、
取得された前記会議情報と、特定された前記発言者を示す情報(例えば図2の発言者情報)と、前記発言の内容を示す情報(例えば図2の発言情報)とに基づいて、前記会議の進行状況を判定する状況判定手段(例えば図9の状況判定部152)と、
前記状況判定手段による前記判定の結果に基づいて、前記テーマの実現に必要となり得る担当者の割り振りを行う担当割振手段(例えば図9の担当者割振部109)と、
を備える。 Further, an information processing device to which the present invention is applied is
meeting acquisition means (for example, themeeting acquisition unit 114 in FIG. 9) that acquires information about a meeting with a predetermined theme as meeting information (for example, meeting information in FIG. 2);
voice acquisition means (for example, thevoice acquisition unit 113 in FIG. 9) for acquiring voice data of the held conference as voice information;
speaker identification means (for example,speaker identification unit 162 in FIG. 9) for identifying each speaker of a predetermined unit of speech included in the acquired voice information;
Based on the acquired conference information, information indicating the specified speaker (for example, speaker information in FIG. 2), and information indicating content of the speech (for example, speech information in FIG. 2), the conference A situation determination means (for example, thesituation determination unit 152 in FIG. 9) for determining the progress of
a responsible allocation means (for example, a responsibleperson allocation unit 109 in FIG. 9) that allocates a responsible person who may be necessary for realizing the theme based on the result of the determination by the situation determining means;
Prepare.
所定のテーマの会議に関する情報を、会議情報(例えば図2の会議情報)として取得する会議取得手段(例えば図9の会議取得部114)と、
開催された前記会議の音声のデータを、音声情報として取得する音声取得手段(例えば図9の音声取得部113)と、
取得された前記音声情報に含まれる所定単位の発言の夫々の発言者を特定する発言者特定手段(例えば図9の発言者特定部162)と、
取得された前記会議情報と、特定された前記発言者を示す情報(例えば図2の発言者情報)と、前記発言の内容を示す情報(例えば図2の発言情報)とに基づいて、前記会議の進行状況を判定する状況判定手段(例えば図9の状況判定部152)と、
前記状況判定手段による前記判定の結果に基づいて、前記テーマの実現に必要となり得る担当者の割り振りを行う担当割振手段(例えば図9の担当者割振部109)と、
を備える。 Further, an information processing device to which the present invention is applied is
meeting acquisition means (for example, the
voice acquisition means (for example, the
speaker identification means (for example,
Based on the acquired conference information, information indicating the specified speaker (for example, speaker information in FIG. 2), and information indicating content of the speech (for example, speech information in FIG. 2), the conference A situation determination means (for example, the
a responsible allocation means (for example, a responsible
Prepare.
つまり、所定のテーマの会議に関する情報が、会議情報として取得される。また、開催された会議の音声のデータが、音声情報として取得される。すると、取得された音声情報に含まれる所定単位の発言の夫々の発言者が特定される。そして、取得された会議情報と、特定された発言者を示す情報と、発言者の発言の内容を示す情報とに基づいて、会議の進行状況が判定される。そして、その判定の結果に基づいて、テーマの実現に必要となり得る担当者の割り振りが行われる。
これにより、特許出願を効率良く行うために必要となる人材の配置が容易化される。その結果、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。 In other words, information about a meeting with a predetermined theme is acquired as meeting information. Also, audio data of the held conference is acquired as audio information. Then, the speaker of each predetermined unit of speech included in the acquired voice information is specified. Then, the progress of the conference is determined based on the acquired conference information, the information indicating the specified speaker, and the information indicating the content of the speech of the speaker. Then, based on the result of the determination, the person in charge who may be necessary for realizing the theme is assigned.
This facilitates the placement of the personnel required to efficiently file patent applications. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
これにより、特許出願を効率良く行うために必要となる人材の配置が容易化される。その結果、発明の発掘から特許出願するまでのプロセスの効率化に寄与することができる。 In other words, information about a meeting with a predetermined theme is acquired as meeting information. Also, audio data of the held conference is acquired as audio information. Then, the speaker of each predetermined unit of speech included in the acquired voice information is specified. Then, the progress of the conference is determined based on the acquired conference information, the information indicating the specified speaker, and the information indicating the content of the speech of the speaker. Then, based on the result of the determination, the person in charge who may be necessary for realizing the theme is assigned.
This facilitates the placement of the personnel required to efficiently file patent applications. As a result, it is possible to contribute to the efficiency of the process from discovering inventions to filing patent applications.
1・・・サーバ、2・・・出席者端末、11・・・CPU、12・・・ROM、13・・・RAM、14・・・バス、15・・・入出力インターフェース、16・・・入力部、17・・・出力部、18・・・記憶部、19・・・通信部、20・・・ドライブ、40・・・リムーバルメディア、101・・・取得部、102・・・解析部、103・・・提示部、104・・・特定情報抽出部、105・・・判定部、106・・・特定部、107・・・質問生成部、108・・・寄与率算出部、109・・・担当者割振部、111・・・テーマ取得部、112・・・発明取得部、113・・・音声取得部、114・・・会議取得部、121・・・テーマ解析部、122・・・発明解析部、131・・・機能提示部、132・・・抽出条件提示部、151・・・特定判定部、152・・・状況判定部、161・・・不足特定部、162・・・発言者特定部、181・・・テーマDB、182・・・発明DB、183・・・会議DB、184・・・人材DB、185・・・抽出条件DB、A・・・出席者、M・・・開発会議、K・・・企業、Ip・・・抽出条件情報、F・・・機能的要素、E・・・電子付箋、H・・・表示装置、NW・・・ネットワーク
1 Server, 2 Attendee Terminal, 11 CPU, 12 ROM, 13 RAM, 14 Bus, 15 Input/Output Interface, 16 Input unit 17 Output unit 18 Storage unit 19 Communication unit 20 Drive 40 Removable media 101 Acquisition unit 102 Analysis unit , 103... presentation unit, 104... specific information extraction unit, 105... determination unit, 106... identification unit, 107... question generation unit, 108... contribution rate calculation unit, 109. Person in charge allocation unit 111 Theme acquisition unit 112 Invention acquisition unit 113 Voice acquisition unit 114 Conference acquisition unit 121 Theme analysis unit 122 Invention analysis unit 131 Function presentation unit 132 Extraction condition presentation unit 151 Identification determination unit 152 Situation determination unit 161 Insufficiency identification unit 162 Speaker identification unit 181 theme DB 182 invention DB 183 meeting DB 184 personnel DB 185 extraction condition DB A attendees M. Development meeting, K: company, Ip: extraction condition information, F: functional element, E: electronic sticky note, H: display device, NW: network
Claims (6)
- 所定の対象を実現させるためのテーマを示す情報を、テーマ情報として取得するテーマ取得手段と、
前記テーマ情報の解析を行うテーマ解析手段と、
前記解析の結果に基づいて、前記所定の対象の実現に必要となり得る1以上の機能的要素の候補を提示する機能提示手段と、
備える情報処理装置。 theme acquisition means for acquiring, as theme information, information indicating a theme for realizing a predetermined target;
theme analysis means for analyzing the theme information;
function presenting means for presenting candidates for one or more functional elements that may be necessary for realizing the predetermined object, based on the results of the analysis;
information processing device. - 所定の対象を実現させるためのテーマを示す情報を、テーマ情報として取得するテーマ取得手段と、
前記テーマ情報の解析を行うテーマ解析手段と、
前記解析の結果に基づいて、前記所定の対象に関連し得る先行技術を示す情報を抽出するための情報を生成して提示する抽出条件提示手段と、
備える情報処理装置。 theme acquisition means for acquiring, as theme information, information indicating a theme for realizing a predetermined target;
theme analysis means for analyzing the theme information;
extraction condition presenting means for generating and presenting information for extracting information indicating prior art that may be related to the predetermined target based on the analysis result;
information processing device. - 所定の発明に関する情報を、発明情報として取得する発明取得手段と、
前記発明情報の解析を行う発明解析手段と、
前記解析の結果に基づいて、前記発明情報のうち前記発明の特定に必要となる1以上の情報を、発明特定情報として抽出する特定情報抽出手段と、
抽出された前記発明特定情報で前記所定の発明を特定できるかどうかの判定を行う判定手段と、
備える情報処理装置。 invention acquisition means for acquiring information about a given invention as invention information;
invention analysis means for analyzing the invention information;
specific information extracting means for extracting, as invention specifying information, one or more pieces of information necessary for specifying the invention from the invention information based on the result of the analysis;
determining means for determining whether or not the predetermined invention can be specified by the extracted invention specifying information;
information processing device. - 前記判定手段による前記判定の結果に基づいて、前記所定の発明を特定するために追加的に必要となる発明特定情報を特定する不足特定手段と、
特定された発明特定情報を取得するための所定の質問を生成する質問生成手段と、
をさらに備える、請求項3に記載の情報処理装置。 shortage specifying means for specifying invention specifying information additionally required for specifying the predetermined invention based on the result of the determination by the determining means;
question generating means for generating a predetermined question for acquiring the specified invention specifying information;
The information processing apparatus according to claim 3, further comprising: - 所定のテーマの会議の音声のデータを、音声情報として取得する音声取得手段と、
取得された前記音声情報に含まれる所定単位の発言の夫々の発言者を特定する発言者特定手段と、
特定された前記発言者を示す情報と、前記会議のテーマを示す情報と、前記発言の内容を示す情報とに基づいて、前記会議における発言の寄与率を前記発言者毎に算出する寄与率算出手段と、
を備える情報処理装置。 audio acquisition means for acquiring audio data of a conference on a predetermined theme as audio information;
speaker identification means for identifying each speaker of a predetermined unit of speech included in the acquired voice information;
Contribution rate calculation for calculating a contribution rate of a statement in the conference for each speaker based on information indicating the specified speaker, information indicating the theme of the conference, and information indicating the content of the statement. means and
Information processing device. - 所定のテーマの会議に関する情報を、会議情報として取得する会議取得手段と、
開催された前記会議の音声のデータを、音声情報として取得する音声取得手段と、
取得された前記音声情報に含まれる所定単位の発言の夫々の発言者を特定する発言者特定手段と、
取得された前記会議情報と、特定された前記発言者を示す情報と、前記発言の内容を示す情報とに基づいて、前記会議の進行状況を判定する状況判定手段と、
前記判定の結果に基づいて、前記テーマの実現に必要となり得る担当者の割り振りを行う担当割振手段と、
を備える情報処理装置。 meeting acquisition means for acquiring information about a meeting with a predetermined theme as meeting information;
audio acquisition means for acquiring audio data of the held conference as audio information;
speaker identification means for identifying each speaker of a predetermined unit of speech included in the acquired voice information;
status determination means for determining a progress status of the conference based on the obtained conference information, the information indicating the specified speaker, and the information indicating the content of the speech;
a responsible allocating means for allocating a responsible person who may be necessary for realizing the theme based on the result of the determination;
Information processing device.
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JP2011066794A (en) * | 2009-09-18 | 2011-03-31 | Sharp Corp | Meeting management device, and meeting management method |
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WO2019187397A1 (en) * | 2018-03-29 | 2019-10-03 | 京セラドキュメントソリューションズ株式会社 | Information processing device |
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