CN113569007B - Method, device and storage medium for processing knowledge service resources - Google Patents
Method, device and storage medium for processing knowledge service resources Download PDFInfo
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- 238000012545 processing Methods 0.000 title claims abstract description 62
- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000013467 fragmentation Methods 0.000 claims abstract description 9
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- 238000007499 fusion processing Methods 0.000 claims abstract description 7
- 230000015654 memory Effects 0.000 claims description 21
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- 238000004590 computer program Methods 0.000 claims description 11
- 238000013138 pruning Methods 0.000 claims description 4
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- 238000010276 construction Methods 0.000 description 2
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Abstract
The embodiment of the application provides a method, a device and a storage medium for processing knowledge service resources, wherein the method comprises the following steps: acquiring a first resource set from a plurality of channels, and respectively carrying out fragmentation processing on each knowledge service resource in the first resource set based on the resource attribute and directory information of each knowledge service resource in the first resource set to obtain a second resource set; carrying out fusion processing and hierarchical structuring processing on each knowledge service resource to obtain a hierarchical structure; setting corresponding resource labels for each knowledge service resource in the hierarchical structure; setting corresponding resource labels according to each knowledge service resource to establish a knowledge service resource label system; and receiving the keywords of the user from the client, and sending the target knowledge service resources to the client after the target knowledge service resources associated with the keywords are matched based on the knowledge service resource tag system. The scheme can improve the speed of responding to the user and provide more accurate knowledge service resources.
Description
Technical Field
The application relates to the technical field of big data, in particular to a method, a device and a storage medium for processing knowledge service resources.
Background
Although the publishing industry can provide knowledge service resources for users, the internal organization of the prior knowledge service resources depends on the traditional hierarchical architecture, and lacks uniform description standards for the knowledge service resources in the field of digital transmission, so that the storage efficiency is common when the knowledge service resources are stored based on the hierarchical architecture.
Disclosure of Invention
The embodiment of the application provides a method, a device and a storage medium for processing knowledge service resources, which can improve the speed of responding to users and provide more accurate knowledge service resources, continuously optimize a knowledge service resource label system and enrich the knowledge service resources in the knowledge service resource label system, thereby providing more abundant, diversified and comprehensive knowledge service resources for users.
In a first aspect, an embodiment of the present application provides a method for processing a knowledge service resource, where the method includes:
obtaining a first set of resources from a plurality of channels, the first set of resources comprising a plurality of knowledge service resources;
Based on the resource attribute and directory information of each knowledge service resource in the first resource set, respectively performing fragmentation processing on each knowledge service resource in the first resource set to obtain a second resource set;
Carrying out fusion processing and hierarchical structuring processing on each knowledge service resource in the second resource set to obtain a hierarchical structure;
setting corresponding resource labels for each knowledge service resource in the hierarchical structure;
setting corresponding resource labels according to each knowledge service resource in the hierarchical structure, and establishing a knowledge service resource label system;
receiving a query message of a user from a client, wherein the query message comprises keywords of a knowledge service resource;
and after the target knowledge service resources associated with the keywords are matched in the hierarchical structure based on the knowledge service resource label system, the target knowledge service resources are sent to the client.
In a second aspect, an embodiment of the present application further provides a resource processing device, where the resource processing device includes:
The system comprises a transceiver module, a first resource collection and a second resource collection, wherein the transceiver module is used for acquiring a first resource collection from a plurality of channels, and the first resource collection comprises a plurality of knowledge service resources;
The processing module is used for respectively carrying out fragmentation processing on each knowledge service resource in the first resource set based on the resource attribute and the directory information of each knowledge service resource in the first resource set to obtain a second resource set; carrying out fusion processing and hierarchical structuring processing on each knowledge service resource in the second resource set to obtain a hierarchical structure;
The processing module is further used for setting corresponding resource labels for each knowledge service resource in the hierarchical structure respectively; setting corresponding resource labels according to each knowledge service resource in the hierarchical structure, and establishing a knowledge service resource label system;
The receiving and transmitting module is further used for receiving a query message of a user from the client, wherein the query message comprises keywords of the knowledge service resource; and when the processing module is matched with the target knowledge service resources associated with the keywords in the hierarchical structure based on the knowledge service resource label system, the target knowledge service resources are sent to the client.
In a third aspect, an embodiment of the present application further provides a processing device, including a processor and a memory, where the memory stores a computer program, and when the processor invokes the computer program in the memory, the processor executes steps in any one of the methods for processing a knowledge service resource provided in the embodiment of the present application.
In a fourth aspect, embodiments of the present application further provide a computer readable storage medium storing a plurality of instructions adapted to be loaded by a processor to perform any of the steps in the method for processing a knowledge service resource provided by the embodiments of the present application.
From the above, the present application has the following advantages:
1. By establishing a knowledge service resource tag system and searching the query message of the user based on the knowledge service resource tag system, the speed of responding to the user can be improved and more accurate knowledge service resources can be provided;
2. By updating the knowledge service resource label system, the knowledge service resource label system can be continuously optimized, and knowledge service resources in the knowledge service resource label system are enriched, so that richer, diversified and comprehensive knowledge service resources are provided for users.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow diagram of a method of handling knowledge service resources in accordance with the present application;
FIG. 2 is a schematic diagram of a resource processing device according to the present application;
FIG. 3 is a schematic view of a construction of the treatment apparatus of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to fall within the scope of the application.
In the description that follows, specific embodiments of the application will be described with reference to steps and symbols performed by one or more computers, unless otherwise indicated. Thus, these steps and operations will be referred to in several instances as being performed by a computer, which as referred to herein performs operations that include processing units by the computer that represent electronic signals that represent data in a structured form. This operation transforms the data or maintains it in place in the computer's memory system, which may reconfigure or otherwise alter the computer's operation in a manner well known to those skilled in the art. The data structure maintained by the data is the physical location of the memory, which has specific characteristics defined by the data format. However, the principles of the present application are described in the foregoing text and are not meant to be limiting, and one skilled in the art will recognize that various steps and operations described below may also be implemented in hardware.
The principles of the present application operate using many other general purpose or special purpose operations, communication environments, or configurations. Examples of computing systems, environments, and configurations that may be suitable for use with the application include, but are not limited to, hand-held telephones, personal computers, servers, multiprocessor systems, microcomputer-based systems, mainframe computers, and distributed computing environments that include any of the above systems or devices.
The terms "first," "second," and "third," etc. in this disclosure are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion.
First, before describing the embodiments of the present application, the following description will be made with respect to the application context.
The granularity of knowledge reflects the fundamental features of the human awareness world, and the user's needs for knowledge appear at different granularities: knowledge points (sections), knowledge units (chapters), courses (books), professional (field) knowledge systems and the like, and one knowledge requirement (such as a quadratic function optimization problem) corresponds to various resources (courseware, micro-courses, test questions and the like). In addition, the cognitive ability of different users is different from the learning purpose, and the demands on the resource difficulty level, the presentation form (text or multimedia) and the like are different. For accurately serving users, binding and pushing resources or resource packages required by the users, multi-granularity division (knowledge fragmentation) is needed for knowledge service resources, multi-granularity mapping relations between knowledge demands and the resources are defined, and a standardized multi-granularity resource tag system is constructed. The traditional knowledge service is still based on a single-granularity knowledge service (book), and knowledge service resources only have simple tag identifications (such as authors, publishers, ISBN and the like) and cannot meet the requirements of users on personalized multi-granularity knowledge services. Aiming at the problem, the project is based on distributed diversified dynamic resources in a unified knowledge service resource library, takes books, journals, test questions and other publications as cores, researches a semantic-based multi-granularity knowledge service resource fusion technology, and meets the requirements of a personalized knowledge supply system in a knowledge level, wherein the technology comprises a knowledge service resource granularity space model, a multi-granularity label system construction technology and a label system updating technology.
The execution subject of the method for processing the knowledge service resource provided by the application can be the device provided by the application or a server integrated with the device.
Next, a method for processing knowledge service resources provided by the present application will be described.
Referring to fig. 1, fig. 1 shows a schematic flow chart of a method for processing knowledge service resources according to the present application, and the method provided by the present application may specifically include the following steps:
101, a first set of resources is obtained from a plurality of channels.
Wherein the first set of resources includes a plurality of knowledge service resources.
102. And respectively carrying out fragmentation processing on each knowledge service resource in the first resource set based on the resource attribute and directory information of each knowledge service resource in the first resource set to obtain a second resource set.
103. And carrying out fusion processing and hierarchical structuring processing on each knowledge service resource in the second resource set to obtain a hierarchical structure.
104. And setting corresponding resource labels for each knowledge service resource in the hierarchical structure.
105. And setting corresponding resource labels according to each knowledge service resource in the hierarchical structure to establish a knowledge service resource label system.
Specifically, the document splitting technology enterprise standard and the labeling technology enterprise standard are established around coarse-granularity knowledge service resources such as books, journals and test papers, and the knowledge service resources are subjected to fragmentation processing based on attribute information (ISBN, languages, authors, resource types, publication dates, publishers, subject words and the like) and directory information of the resources. Aiming at knowledge service resources with fine granularity and fragmentation, a semantic-based multi-granularity concept fusion technology is researched, and a hierarchical structure of the knowledge service resources is established, so that knowledge service resources become ordered and structured. On the basis, an automatic indexing tool for knowledge service resources is developed, indexing operation on all the knowledge attributes, difficulty attributes, problem attributes and other attributes of the resources is realized, a standardized knowledge service resource label system is established, the retrieval and secondary use of the resources are facilitated, and the speed and accuracy of pushing and customizing the knowledge service resources are improved.
106. A query message of a user is received from a client.
Wherein, the inquiry message comprises keywords of knowledge service resources.
107. And after the target knowledge service resources associated with the keywords are matched in the hierarchical structure based on the knowledge service resource label system, the target knowledge service resources are sent to the client.
In some embodiments, for an already established knowledge service resource tagging hierarchy, updates may also occur due to the introduction of subsequent new knowledge services or updates based on original knowledge service resources. The application can update the knowledge service resource label system by adopting a knowledge service resource increment update mechanism (including generalization, pruning, refinement and splitting) based on similarity. The following description will be made in terms of two aspects in which the update occurs due to the introduction of a new knowledge service or based on an update of an original knowledge service resource, respectively:
1. updating knowledge service resource tag hierarchy with introduction of new knowledge service
The specific operation flow of updating the knowledge service resource tag system due to the introduction of new knowledge service comprises the following steps:
acquiring update data of a first knowledge service resource in the hierarchical structure;
Inserting the update data into the target knowledge service resource to update the first knowledge service resource. If the updated data is new data not in the first knowledge service resource, performing incremental update based on the first knowledge service resource; if the update data is based on the update of the original data in the first knowledge service resource, performing differential update on the first knowledge service resource; if the update data simultaneously comprises first data which is not in the first knowledge service resource and second data which is updated based on the original data in the first knowledge service resource, incremental update is performed on the first data based on the first knowledge service resource, and differential update is performed on the first knowledge service resource based on the second data.
2. Updating knowledge service resource label system based on original knowledge service resource
The following describes the operation flow of the system of updating the knowledge service resource label based on the original knowledge service resource in a manner a and a manner b respectively:
in the mode a, a specific operation flow of updating the knowledge service resource tag system includes:
Acquiring new knowledge service resources to be processed;
If the knowledge service resources with the similarity higher than the first similarity do not exist in the hierarchical structure, generalizing, pruning, refining and splitting the new knowledge service resources;
Setting a resource tag for the new knowledge service resource to update the knowledge service resource tag system.
In the mode b, the specific operation flow of updating the knowledge service resource label system comprises the following steps:
Acquiring new knowledge service resources to be processed;
If the similarity between the new knowledge service resource and the second knowledge service resource is higher than the first similarity, incremental updating the second knowledge service resource based on the new knowledge service resource; the second knowledge service resource is a knowledge service resource in the hierarchical structure.
Therefore, the knowledge service resource label system can be continuously optimized by updating the knowledge service resource label system, and knowledge service resources in the knowledge service resource label system are enriched, so that richer, diversified and comprehensive knowledge service resources are provided for users.
In some embodiments, a personalized knowledge service system is created for accurate service users, the project fuses user space-time behavior information, dynamic interests of the users are obtained through data mining and fine granularity analysis of the user space-time behavior, required knowledge service resources are rapidly and accurately pushed to the users, user personalized knowledge service requirements of specific scenes are met, and user interest modeling based on space-time behavior characteristics can be achieved. Specifically, the method further comprises:
acquiring user space-time behavior information of a user, wherein the user space-time behavior information comprises user identification, time, behavior type and knowledge service resource interest points;
Performing interest feature mining and fine granularity analysis on the user space-time behaviors, and establishing a user interest map;
and sending recommendation information to the user according to the user interest map, wherein the recommendation information indicates knowledge service resources corresponding to the user interest map.
For example, based on a resource classification system in a knowledge graph, carrying out systematic analysis on interest classification standards and related concepts, defining the range of the interest concepts, and constructing a general interest domain ontology by the relationship (is of, part of, same as and the like) among the interest concepts; based on the method, how to accurately integrate the user space-time behavior information based on the concept, the relationship and the rule of the interest field ontology, wherein the user space-time behavior information comprises user identification, time, behavior types (browsing, purchasing, commenting and the like) and interest points (knowledge service resources), and a user interest map is constructed to describe personalized and dynamic interest characteristics.
Therefore, in the embodiment of the application, as the fusion processing and the hierarchical structuring processing are performed on each knowledge service resource in the second resource set, a hierarchical structure is obtained; setting corresponding resource labels for each knowledge service resource in the hierarchical structure; and setting corresponding resource labels according to each knowledge service resource in the hierarchical structure to establish a knowledge service resource label system. Therefore, in one aspect, the speed of responding to the user can be improved and more accurate knowledge service resources can be provided by establishing a knowledge service resource tag system and retrieving the query message of the user based on the knowledge service resource tag system; on the other hand, the knowledge service resource label system can be continuously optimized by updating the knowledge service resource label system, and knowledge service resources in the knowledge service resource label system are enriched, so that richer, diversified and comprehensive knowledge service resources are provided for users.
In order to facilitate better implementation of the method of the present application, the embodiment of the present application further provides a resource processing device 20.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a resource processing device 20 according to the present application, wherein the resource processing device 20 may specifically include the following structures:
a transceiver module 201, configured to obtain a first resource set from a plurality of channels, where the first resource set includes a plurality of knowledge service resources;
The processing module 202 is configured to perform fragmentation processing on each knowledge service resource in the first resource set based on the resource attribute and the directory information of each knowledge service resource in the first resource set, so as to obtain a second resource set; carrying out fusion processing and hierarchical structuring processing on each knowledge service resource in the second resource set to obtain a hierarchical structure;
the processing module 202 is further configured to set corresponding resource labels for each knowledge service resource in the hierarchical structure; setting corresponding resource labels according to each knowledge service resource in the hierarchical structure, and establishing a knowledge service resource label system;
The transceiver module 201 is further configured to receive a query message of a user from a client, where the query message includes a keyword of a knowledge service resource; after the processing module 202 matches the target knowledge service resources associated with the keywords in the hierarchical structure based on the knowledge service resource tag hierarchy, the target knowledge service resources are sent to the client.
In one embodiment, the processing module 202 is further configured to:
acquiring update data of a first knowledge service resource in the hierarchical structure;
Inserting the update data into the target knowledge service resource to update the first knowledge service resource.
In one embodiment, the processing module 202 is further configured to:
Acquiring new knowledge service resources to be processed through the transceiver module 201;
If the knowledge service resources with the similarity higher than the first similarity do not exist in the hierarchical structure, generalizing, pruning, refining and splitting the new knowledge service resources;
Setting a resource tag for the new knowledge service resource to update the knowledge service resource tag system.
In some embodiments, the processing module 202 is further configured to:
Acquiring new knowledge service resources to be processed through the transceiver module 201;
If the similarity between the new knowledge service resource and the second knowledge service resource is higher than the first similarity, incremental updating the second knowledge service resource based on the new knowledge service resource; the second knowledge service resource is a knowledge service resource in the hierarchical structure.
In some embodiments, the processing module 202 is further configured to:
Acquiring user space-time behavior information of a user through the transceiver module 201, wherein the user space-time behavior information comprises user identification, time, behavior type and knowledge service resource interest points;
Performing interest feature mining and fine granularity analysis on the user space-time behaviors, and establishing a user interest map;
And sending recommendation information to the user through the transceiver module 201 according to the user interest graph, wherein the recommendation information indicates knowledge service resources corresponding to the user interest graph.
The present application also provides a processing device, referring to fig. 3, and fig. 3 shows a schematic structural diagram of the processing device, specifically, the processing device provided by the present application includes a processor, where the processor is configured to implement steps of the embodiment corresponding to fig. 1 when executing a computer program stored in a memory; or the processor may be adapted to perform the functions of the modules in the corresponding embodiment of fig. 2 when executing a computer program stored in a memory.
For example, a computer program may be split into one or more modules/units, which are stored in a memory and executed by a processor to perform the present application. One or more of the modules/units may be a series of computer program instruction segments capable of performing particular functions to describe the execution of the computer program in a computer device.
The processing device may include, but is not limited to, a processor, a memory. It will be appreciated by those skilled in the art that the illustrations are merely examples of processing devices, and are not limiting of processing devices, and may include more or less components than illustrated, or may combine some components, or different components, e.g., processing devices may also include input and output devices, network access devices, buses, etc., through which processors, memories, input and output devices, network access devices, etc. are connected.
The Processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (DIGITAL SIGNAL Processor, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), off-the-shelf Programmable gate array (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like that is a control center for a processing device that utilizes various interfaces and lines to connect various parts of the overall processing device.
The memory may be used to store computer programs and/or modules, and the processor implements various functions of the computer device by running or executing the computer programs and/or modules stored in the memory, and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, video data, etc.) created according to the use of the processing device, and the like. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart memory card (SMART MEDIA CARD, SMC), secure Digital (SD) card, flash memory card (FLASH CARD), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
It will be clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus, the processing device and the corresponding modules described above may refer to the description of the corresponding embodiment as shown in fig. 1, and will not be repeated here.
Those of ordinary skill in the art will appreciate that all or a portion of the steps of the various methods of the above embodiments may be performed by instructions, or by instructions controlling associated hardware, which may be stored in a computer-readable storage medium and loaded and executed by a processor.
For this reason, the embodiment of the present application provides a computer readable storage medium, in which a plurality of instructions capable of being loaded by a processor are stored, so as to execute the steps in the embodiment of the present application as shown in fig. 1, and specific operations may refer to the description of the method for processing the knowledge service resource in the embodiment of the present application, which is not repeated herein.
Wherein the computer-readable storage medium may comprise: read Only Memory (ROM), random access Memory (RAM, random Access Memory), magnetic or optical disk, and the like.
Since the steps in the embodiment of the present application corresponding to fig. 1 can be executed by the instructions stored in the computer readable storage medium, the method for processing the knowledge service resource in the embodiment of the present application can achieve the beneficial effects, which are described in detail in the foregoing description and are not repeated herein.
The above detailed description of a method, apparatus, processing device and computer readable storage medium for processing knowledge service resources provided by the present application applies specific examples to illustrate the principles and embodiments of the present application, and the above examples are only used to help understand the method and core ideas of the present application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in light of the ideas of the present application, the present description should not be construed as limiting the present application.
Claims (3)
1. A method of processing knowledge service resources, the method comprising:
obtaining a first set of resources from a plurality of channels, the first set of resources comprising a plurality of knowledge service resources;
Based on the resource attribute and directory information of each knowledge service resource in the first resource set, respectively performing fragmentation processing on each knowledge service resource in the first resource set to obtain a second resource set;
Carrying out fusion processing and hierarchical structuring processing on each knowledge service resource in the second resource set to obtain a hierarchical structure;
setting corresponding resource labels for each knowledge service resource in the hierarchical structure;
setting corresponding resource labels according to each knowledge service resource in the hierarchical structure, and establishing a knowledge service resource label system;
receiving a query message of a user from a client, wherein the query message comprises keywords of a knowledge service resource;
when the target knowledge service resources associated with the keywords are matched in the hierarchical structure based on the knowledge service resource label system, the target knowledge service resources are sent to the client;
The method further comprises the steps of:
acquiring update data of a first knowledge service resource in the hierarchical structure;
inserting the update data into the target knowledge service resource to update the first knowledge service resource;
The method further comprises the steps of:
Acquiring new knowledge service resources to be processed;
If the knowledge service resources with the similarity higher than the first similarity do not exist in the hierarchical structure, generalizing, pruning, refining and splitting the new knowledge service resources;
setting a resource tag for the new knowledge service resource to update the knowledge service resource tag system;
The method further comprises the steps of:
Acquiring new knowledge service resources to be processed;
If the similarity between the new knowledge service resource and the second knowledge service resource is higher than the first similarity, incremental updating the second knowledge service resource based on the new knowledge service resource; the second knowledge service resource is a knowledge service resource in the hierarchical structure;
The method further comprises the steps of:
acquiring user space-time behavior information of a user, wherein the user space-time behavior information comprises user identification, time, behavior type and knowledge service resource interest points;
Performing interest feature mining and fine granularity analysis on the user space-time behaviors, and establishing a user interest map;
And sending recommendation information to the user according to the user interest map, wherein the recommendation information refers to knowledge service resources of the user interest map.
2. A processing device comprising a processor and a memory, the memory having stored therein a computer program, the processor executing the method of claim 1 when calling the computer program in the memory.
3. A computer readable storage medium storing a plurality of instructions adapted to be loaded by a processor to perform the method of claim 1.
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| CN110489561A (en) * | 2019-07-12 | 2019-11-22 | 平安科技（深圳）有限公司 | Knowledge mapping construction method, device, computer equipment and storage medium |
| CN111930792A (en) * | 2020-06-23 | 2020-11-13 | 北京大米科技有限公司 | Data resource labeling method and device, storage medium and electronic equipment |
| CN112434168A (en) * | 2020-11-09 | 2021-03-02 | 广西壮族自治区图书馆 | Knowledge graph construction method and fragmentized knowledge generation method based on library |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110489561A (en) * | 2019-07-12 | 2019-11-22 | 平安科技（深圳）有限公司 | Knowledge mapping construction method, device, computer equipment and storage medium |
| CN111930792A (en) * | 2020-06-23 | 2020-11-13 | 北京大米科技有限公司 | Data resource labeling method and device, storage medium and electronic equipment |
| CN112434168A (en) * | 2020-11-09 | 2021-03-02 | 广西壮族自治区图书馆 | Knowledge graph construction method and fragmentized knowledge generation method based on library |
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