CN117891908A - Auxiliary proposition examination question retrieval method and system based on artificial intelligent recognition - Google Patents
Auxiliary proposition examination question retrieval method and system based on artificial intelligent recognition Download PDFInfo
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Abstract
The invention relates to the technical field of auxiliary propositions, in particular to an auxiliary propositions examination question retrieval method and system based on artificial intelligent recognition. The technical scheme includes that a support material library of an examination system is built to form a storage structure for information linkage storage, online document extraction is conducted according to the storage structure to form an electronic book library, the electronic book library is obtained to conduct positioning and marking of internal chapters, AI retrieval analysis reports are automatically completed after a proposition process is started, reference data of a range of examination propositions are formed through online analysis according to an examination historical database, and auxiliary propositions interface display is conducted according to the AI retrieval analysis reports and the reference data of the range of examination propositions. According to the scheme, the electronic library is arranged, the function of electronic basis and self-adaptive scheduling of the mission and examination questions is realized, and the rapid matching of the mission and examination questions and the lesson is improved.
Description
Technical Field
The invention relates to the technical field of auxiliary propositions, in particular to an auxiliary propositions examination question retrieval method and system based on artificial intelligent recognition.
Background
The test proposition is a very complex task, and needs a great amount of manpower, material resources and financial resources, which is a very hard and heavy work, and has close relation with scientific research; on the one hand, examination propositions are strictly carried out according to a teaching outline and a teaching plan; on the other hand, the requirements of education development are adapted as much as possible, and the proposition process is required to be continuously adjusted, supplemented and modified according to the actual situation.
Before the technology of the invention, in the process of carrying out examination propositions, the prior art needs to inquire a large amount of on-line and off-line data for comparison analysis, invite expert students to judge, have low efficiency, and the information of each time cannot be completely focused.
Disclosure of Invention
In view of the problems, the invention provides an auxiliary proposition examination question retrieval method and system based on artificial intelligent recognition, and the electronic library is arranged to realize the functions of electronization and self-adaptive scheduling of the proposition examination questions and promote the rapid matching of the proposition examination questions and the lesson trial.
According to a first aspect of the embodiment of the invention, an auxiliary proposition examination question retrieval method based on artificial intelligent recognition is provided.
In one or more embodiments, preferably, the auxiliary proposition review retrieval method based on artificial intelligence recognition includes:
the support material library for constructing the examination system is generated into a storage structure for carrying out information linkage storage;
extracting online documents according to the storage structure to form an electronic book library;
acquiring the electronic book library, and positioning and marking internal chapters;
after the process of the proposition is started, the AI retrieval analysis report is automatically completed;
analyzing and forming reference data of the range of test propositions on line according to a history database of the test;
and carrying out auxiliary proposition interface display according to the AI retrieval analysis report and the reference data of the examination proposition range.
In one or more embodiments, preferably, the support material library of the construction examination system is generated as a storage structure for performing information linkage storage, and specifically includes:
acquiring all supporting materials corresponding to the examination system as a supporting material library;
splitting the data of the material library to obtain all offline materials, and extracting book names and book names of online books to form an electronic book library;
and enabling each book name in the electronic book library to correspond to only one book name on line or off line, and taking the corresponding relation as a storage structure.
In one or more embodiments, preferably, the online document extraction according to the storage structure forms an electronic book library, which specifically includes:
after determining the storage structure, electronically scanning books in the storage structure;
performing OCR (optical character recognition) quick text extraction on the scanned books;
and storing the replicable and searchable documents in the electronic book library according to the storage structure.
In one or more embodiments, preferably, the acquiring the electronic book library, positioning and marking the internal chapter specifically includes:
acquiring the electronic book library, and extracting the catalogue of each replicable and searchable document in the electronic book library;
and marking the positions of the chapters according to the catalogue.
In one or more embodiments, preferably, the AI search analysis report is automatically completed after the proposition process is started, which specifically includes:
after a proposition examination command is started, the information of the current electronic book library is automatically started to be called, and the number of each chapter name and the number of the keyword are formed;
calculating a comprehensive number by using a first calculation formula;
judging chapter names and keyword names in the current proposition, and extracting all information with the same comprehensive number from the electronic book library as information association content;
setting the similarity degree between the keywords by using a second calculation formula, and extracting the content in the electronic book library from high to low according to the similarity degree of the keywords to form semantic association content;
storing the information associated content in a mode that the semantic associated content is in the front and the information associated content is in the rear as an AI retrieval analysis report;
the first calculation formula is as follows:
ZZ=Z1+1000×G1
wherein ZZ is the comprehensive number, Z1 is the number of the chapter name, and G1 is the number of the keyword;
the second calculation formula is as follows:
F=e -C
wherein F is the similarity degree between the keywords, C is the minimum synonym conversion times required by the mutual conversion between the keywords, and e is a natural constant.
In one or more embodiments, preferably, the on-line analysis of the reference data forming the scope of the test proposition according to the history database of the test specifically includes:
acquiring an examination history database and extracting all completed propositions;
extracting the comprehensive numbers of all propositions;
summarizing propositions with the same comprehensive number as a uniform-range proposition library;
after extracting the proposition which is being written currently, the same-range question library where the proposition is located is acquired, and the reference data of the range of the proposition is displayed.
In one or more embodiments, preferably, the auxiliary proposition interface presentation according to the AI search analysis report and the reference data of the range of the examination proposition specifically includes:
acquiring reference data of the AI retrieval analysis report and the range of the examination proposition;
dividing the current proposition interface into three parts, wherein the first part is the interface of the proposition, the second part is similar historical data of the proposition to be generated, and the third part is a reference document in the electronic book library;
associating the first part with the current input content, displaying an AI retrieval analysis report in the second part, and displaying reference data of the range of examination propositions in the third part;
setting the third part to be displayed and reproducible, wherein the second part is only displayed and cannot be reproduced;
the first part is an editable, replicable and attachable scope.
According to a second aspect of the embodiment of the invention, an auxiliary proposition examination question retrieval system based on artificial intelligence recognition is provided.
In one or more embodiments, preferably, the auxiliary proposition review retrieval system based on artificial intelligence recognition includes:
the electronic book library construction module is used for constructing a support material library of the examination system to generate a storage structure for carrying out information linkage storage;
the electronic data processing module is used for extracting the online document according to the storage structure to form an electronic book library;
the chapter positioning module is used for acquiring the electronic book library and positioning and marking the internal chapters;
the AI summarizing module is used for automatically completing AI retrieval analysis report after starting the proposition examination process;
the range calling module is used for analyzing and forming the reference data of the range of the examination proposition on line according to the history database of the examination;
and the auxiliary proposition module is used for carrying out auxiliary proposition interface display according to the AI retrieval analysis report and the reference data of the examination proposition range.
According to a third aspect of embodiments of the present invention, there is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement a method according to any of the first aspect of embodiments of the present invention.
According to a fourth aspect of embodiments of the present invention there is provided an electronic device comprising a memory and a processor, the memory being for storing one or more computer program instructions, wherein the one or more computer program instructions are executable by the processor to implement the method of any of the first aspects of embodiments of the present invention.
The technical scheme provided by the embodiment of the invention can comprise the following beneficial effects:
according to the scheme, the electronic library with the linkage of the internal network and the external network of the examination system is designed, so that the setting of a data source for rapidly calling information is realized.
In the scheme of the invention, the corresponding AI analysis and sum proposition scope calling mechanism is designed, so that the efficient execution of the auxiliary proposition is realized.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, 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 invention, 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 chart of an auxiliary proposition review retrieval method based on artificial intelligence recognition according to an embodiment of the present invention.
Fig. 2 is a flowchart of a support material library of a construction examination system in an auxiliary proposition examination retrieval method based on artificial intelligence recognition according to an embodiment of the present invention being generated as a storage structure for information linkage storage.
FIG. 3 is a flow chart of an electronic book library formed by on-line document extraction according to the storage structure in an auxiliary proposition examination question retrieval method based on artificial intelligence recognition according to an embodiment of the present invention.
FIG. 4 is a flow chart of the method for assisting in the retrieval of the proposition questions based on the artificial intelligence recognition to obtain the electronic book library and to locate and mark the internal chapters according to one embodiment of the invention.
FIG. 5 is a flow chart of an auxiliary proposition review method based on artificial intelligence recognition that automatically completes AI retrieval analysis reporting after starting the review proposition process in accordance with one embodiment of the present invention.
Fig. 6 is a flowchart of reference data for forming a range of test propositions according to on-line analysis of a history database of a test in an auxiliary propositions review retrieval method based on artificial intelligence recognition according to an embodiment of the present invention.
FIG. 7 is a flow chart of an auxiliary proposition interface presentation based on the AI search analysis report and the reference data of the scope of the examination proposition in an auxiliary proposition examination method based on artificial intelligence recognition according to an embodiment of the present invention.
FIG. 8 is a block diagram of an auxiliary proposition review retrieval system based on artificial intelligence recognition in accordance with one embodiment of the present invention.
Fig. 9 is a block diagram of an electronic device in one embodiment of the invention.
Detailed Description
In some of the flows described in the specification and claims of the present invention and in the foregoing figures, a plurality of operations occurring in a particular order are included, but it should be understood that the operations may be performed out of order or performed in parallel, with the order of operations such as 101, 102, etc., being merely used to distinguish between the various operations, the order of the operations themselves not representing any order of execution. In addition, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first" and "second" herein are used to distinguish different messages, devices, modules, etc., and do not represent a sequence, and are not limited to the "first" and the "second" being different types.
The following description of the embodiments of the present invention 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 invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to fall within the scope of the invention.
The test proposition is a very complex task, and needs a great amount of manpower, material resources and financial resources, which is a very hard and heavy work, and has close relation with scientific research; on the one hand, examination propositions are strictly carried out according to a teaching outline and a teaching plan; on the other hand, the requirements of education development are adapted as much as possible, and the proposition process is required to be continuously adjusted, supplemented and modified according to the actual situation.
Before the technology of the invention, in the process of carrying out examination propositions, the prior art needs to inquire a large amount of on-line and off-line data for comparison analysis, invite expert students to judge, have low efficiency, and the information of each time cannot be completely focused.
The embodiment of the invention provides an auxiliary proposition examination question retrieval method and system based on artificial intelligent recognition. According to the scheme, the electronic library is arranged, the function of electronic basis and self-adaptive scheduling of the mission and examination questions is realized, and the rapid matching of the mission and examination questions and the lesson is improved.
According to a first aspect of the embodiment of the invention, an auxiliary proposition examination question retrieval method based on artificial intelligent recognition is provided.
FIG. 1 is a flow chart of an auxiliary proposition review retrieval method based on artificial intelligence recognition according to an embodiment of the present invention.
In one or more embodiments, preferably, the auxiliary proposition review retrieval method based on artificial intelligence recognition includes:
s101, a support material library of a construction examination system is generated into a storage structure for information linkage storage;
s102, extracting online documents according to the storage structure to form an electronic book library;
s103, acquiring the electronic book library, and positioning and marking internal chapters;
s104, automatically completing AI retrieval analysis report after starting the proposition examination process;
s105, analyzing and forming reference data of the range of test propositions on line according to a test history database;
s106, carrying out auxiliary proposition interface display according to the AI retrieval analysis report and the reference data of the examination proposition range.
In the embodiment of the invention, an electronic library with linkage of an internal network and an external network of the examination system is arranged, online book storage and electronic conversion of books are carried out according to the library, chapter positioning and association are carried out, after the preprocessing works are carried out, the quick AI analysis and summarization can be carried out, further, the online retrieval analysis report based on the first calculation formula and the second calculation formula and the reference data of the scope of examination proposition are formed, finally, interface display information is formed, the inquiry and analysis of the proposition process are facilitated, and the quick proposition and examination of the book content and examination content based on similar and similar semantic association and replacement are realized.
Fig. 2 is a flowchart of a support material library of a construction examination system in an auxiliary proposition examination retrieval method based on artificial intelligence recognition according to an embodiment of the present invention being generated as a storage structure for information linkage storage.
As shown in fig. 2, in one or more embodiments, preferably, the support material library of the construction test system is generated as a storage structure for performing information linkage storage, and specifically includes:
s201, acquiring all supporting materials corresponding to an examination system as a supporting material library;
s202, splitting data of a material library to obtain all offline materials, and extracting book names and book names of online books to form an electronic book library;
s203, enabling each book name in the electronic book library to correspond to a unique book name on line or off line, and taking the corresponding relation as a storage structure.
In the embodiment of the invention, a support material library of the examination system is obtained, wherein the support material library comprises all teaching materials and books, part of the teaching materials and the books are online, and most of the teaching materials and the books are offline; in this case, an electronic book library of data needs to be set up, and the set electronic book library forms a storage structure based on the examination plan material library catalog.
FIG. 3 is a flow chart of an electronic book library formed by on-line document extraction according to the storage structure in an auxiliary proposition examination question retrieval method based on artificial intelligence recognition according to an embodiment of the present invention.
As shown in fig. 3, in one or more embodiments, preferably, the online document extraction is performed according to the storage structure to form an electronic book library, which specifically includes:
s301, after a storage structure is determined, electronically scanning books in the storage structure;
s302, performing OCR (optical character recognition) rapid character extraction on the scanned books;
s303, storing replicable and searchable documents in the electronic book library according to the storage structure.
In the embodiment of the invention, after the storage structure is determined, books in the storage structure are scanned electronically, quick text extraction is realized through an OCR function after scanning, replicable and searchable documents are formed, and corresponding book storage is completed in the electronic library according to the storage structure.
FIG. 4 is a flow chart of the method for assisting in the retrieval of the proposition questions based on the artificial intelligence recognition to obtain the electronic book library and to locate and mark the internal chapters according to one embodiment of the invention.
As shown in fig. 4, in one or more embodiments, preferably, the acquiring the electronic book library, positioning and marking the internal chapter specifically includes:
s401, acquiring the electronic book library, and extracting the catalogue of each replicable and searchable document in the electronic book library;
s402, marking the positions of chapters according to the catalogue.
In the embodiment of the invention, the corresponding chapter information is matched for each data in the storage structure according to chapters, and the upgrading of each document is completed based on the directory mark.
FIG. 5 is a flow chart of an auxiliary proposition review method based on artificial intelligence recognition that automatically completes AI retrieval analysis reporting after starting the review proposition process in accordance with one embodiment of the present invention.
As shown in FIG. 5, in one or more embodiments, the AI search analysis report is preferably automatically completed after the process of the proposition is initiated, specifically including:
s501, after a proposition examination command is started, automatically starting to call the current information of the electronic book library to form the number of each chapter name and the number of the keyword;
s502, calculating a comprehensive number by using a first calculation formula;
s503, judging chapter names and keyword names in the current proposition, and extracting all information with the same comprehensive number from the electronic book library as information association content;
s504, setting the similarity degree between the keywords by using a second calculation formula, and extracting the content in the electronic book library according to the similarity degree of the keywords from high to low to form semantic association content;
s505, storing the information related content in a mode that the semantic related content is in the front and the information related content is in the rear as an AI retrieval analysis report;
the first calculation formula is as follows:
ZZ=Z1+1000×G1
wherein ZZ is the comprehensive number, Z1 is the number of the chapter name, and G1 is the number of the keyword;
the second calculation formula is as follows:
F=e -C
wherein F is the similarity degree between the keywords, C is the minimum synonym conversion times required by the mutual conversion between the keywords, and e is a natural constant.
In the embodiment of the invention, in the process of examination and proposition, examination points and keywords are firstly required to be divided, but the examination points can be divided according to chapters, and finally AI information summary based on the keywords and the chapter names of each block is formed, and the association degree is ordered by combining with vocabulary similarity, so that a rapid AI retrieval analysis report is formed, wherein the analysis report comprises two types of semantic association and information association.
Fig. 6 is a flowchart of reference data for forming a range of test propositions according to on-line analysis of a history database of a test in an auxiliary propositions review retrieval method based on artificial intelligence recognition according to an embodiment of the present invention.
As shown in fig. 6, in one or more embodiments, preferably, the on-line analysis of the reference data forming the range of test questions according to the history database of the test specifically includes:
s601, acquiring an examination history database to extract all completed propositions;
s602, extracting comprehensive numbers of all propositions;
s603, summarizing propositions with the same comprehensive number as a uniform-range proposition library;
s604, after extracting the proposition which is being written currently, acquiring a same-range proposition library in which the proposition is located, and displaying the proposition library as reference data of the range of the examination proposition.
In the embodiment of the invention, the same examination history database is extracted on line, and the same chapter division and the topics of the keywords in the history database are summarized to form the reference data of the final examination proposition range.
FIG. 7 is a flow chart of an auxiliary proposition interface presentation based on the AI search analysis report and the reference data of the scope of the examination proposition in an auxiliary proposition examination method based on artificial intelligence recognition according to an embodiment of the present invention.
As shown in fig. 7, in one or more embodiments, the performing auxiliary proposition interface presentation according to the AI search analysis report and the reference data of the examination proposition scope specifically includes:
s701, acquiring reference data of the AI retrieval analysis report and the range of the examination proposition;
s702, segmenting a current proposition interface into three parts, wherein the first part is an interface of a proposition, the second part is similar historical data of the proposition to be performed, and the third part is a reference document in an electronic book library;
s703, associating the first part with the current input content, displaying an AI retrieval analysis report in the second part, and displaying reference data of the range of examination questions in the third part;
s704, setting a third part to be displayed and reproducible, wherein the second part is only displayed and cannot be reproduced;
s705, the first part is an editable, replicable, and attachable range.
In the embodiment of the invention, on an auxiliary proposition interface, the interface is divided into 3 types, wherein the first type is an interface in proposition, and the area is used for inputting proposition information; the second category is the presentation of similar historical data of the proposition, which includes reference data of information of the proposition; and the third type is the electronic library, the title is preferentially displayed in the specific display process, and the title is displayed according to the AI retrieval analysis report.
According to a second aspect of the embodiment of the invention, an auxiliary proposition examination question retrieval system based on artificial intelligence recognition is provided.
FIG. 8 is a block diagram of an auxiliary proposition review retrieval system based on artificial intelligence recognition in accordance with one embodiment of the present invention.
In one or more embodiments, preferably, the auxiliary proposition review retrieval system based on artificial intelligence recognition includes:
the electronic book library construction module 801 is used for constructing a support material library of an examination system to generate a storage structure for information linkage storage;
an electronic data processing module 802, configured to perform online document extraction according to the storage structure, to form an electronic book library;
the chapter locating module 803 is configured to obtain the electronic book library, and locate and mark an internal chapter;
the AI summarization module 804 is configured to automatically complete AI search analysis report after starting the proposition process;
the range retrieving module 805 is configured to analyze, on line, reference data of a range for forming a test proposition according to a history database of the test;
and the auxiliary proposition module 806 is used for carrying out auxiliary proposition interface display according to the AI retrieval analysis report and the reference data of the examination proposition range.
In the embodiment of the invention, a system suitable for different structures is realized through a series of modularized designs, and the system can realize closed-loop, reliable and efficient execution through acquisition, analysis and control.
According to a third aspect of embodiments of the present invention, there is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement a method according to any of the first aspect of embodiments of the present invention.
According to a fourth aspect of an embodiment of the present invention, there is provided an electronic device. Fig. 9 is a block diagram of an electronic device in one embodiment of the invention. The electronic device shown in fig. 9 is a general auxiliary proposition examination question retrieval device based on artificial intelligence recognition. Referring to fig. 9, the electronic device may be a smart phone, a tablet computer, or the like. The electronic device 900 comprises a processor 901 and a memory 902. The processor 901 is electrically connected to the memory 902.
The processor 901 is a control center of the electronic device 900, connects various parts of the entire electronic device using various interfaces and lines, and performs various functions of the electronic device and processes data by running or calling computer programs stored in the memory 902 and calling data stored in the memory 902, thereby performing overall monitoring of the electronic device.
In this embodiment, the processor 901 in the electronic device 900 loads instructions corresponding to the processes of one or more computer programs into the memory 902 according to the following steps, and the processor 901 executes the computer programs stored in the memory 902, so as to implement various functions, for example: the method comprises the steps of constructing a support material library of an examination system to form a storage structure for information linkage storage, extracting online documents according to the storage structure to form an electronic book library, acquiring the electronic book library, positioning and marking internal chapters, automatically completing an AI retrieval analysis report after starting a test proposition process, analyzing online according to a history database of the examination to form reference data of a range of the examination proposition, and displaying an auxiliary proposition interface according to the AI retrieval analysis report and the reference data of the range of the examination proposition.
In some implementations, the electronic device 900 may further include: a display 903, radio frequency circuitry 904, audio circuitry 905, a wireless fidelity module 906, and a power supply 907. The display 903, the radio frequency circuit 904, the audio circuit 905, the wireless fidelity module 906 and the power supply 907 are electrically connected to the processor 901.
The display 903 may be used to display information entered by a user or provided to a user as well as various graphical user interfaces, which may be composed of graphics, text, icons, video, and any combination thereof. The display 903 may include a display panel, which in some embodiments may be configured in the form of a liquid crystal display (LCD, liquid Crystal Display), or an Organic Light-Emitting Diode (OLED), or the like.
The radio frequency circuit 904 may be configured to receive and transmit radio frequency signals to and from a network device or other electronic device via wireless communication.
The audio circuit 905 may be used to provide an audio interface between a user and an electronic device through a speaker, microphone.
The wireless fidelity module 906 may be used for short-range wireless transmission, may help users to send and receive e-mail, browse websites, access streaming media, etc., and provides wireless broadband internet access to the user.
The power supply 907 may be used to power various components of the electronic device 900. In some embodiments, the power supply 907 may be logically connected to the processor 901 through a power management system, so as to perform functions of managing charging, discharging, and power consumption management through the power management system.
Although not shown in fig. 9, the electronic device 900 may further include a camera, a bluetooth module, etc., which will not be described herein.
The technical scheme provided by the embodiment of the invention can comprise the following beneficial effects:
according to the scheme, the electronic library with the linkage of the internal network and the external network of the examination system is designed, so that the setting of a data source for rapidly calling information is realized.
In the scheme of the invention, the corresponding AI analysis and sum proposition scope calling mechanism is designed, so that the efficient execution of the auxiliary proposition is realized.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. An auxiliary proposition examination question retrieval method based on artificial intelligent recognition is characterized by comprising the following steps:
the support material library for constructing the examination system is generated into a storage structure for carrying out information linkage storage;
extracting online documents according to the storage structure to form an electronic book library;
acquiring the electronic book library, and positioning and marking internal chapters;
after the process of the proposition is started, the AI retrieval analysis report is automatically completed;
analyzing and forming reference data of the range of test propositions on line according to a history database of the test;
and carrying out auxiliary proposition interface display according to the AI retrieval analysis report and the reference data of the examination proposition range.
2. The auxiliary proposition examination question searching method based on artificial intelligent recognition according to claim 1, wherein the support material library of the construction examination system is generated into a storage structure for information linkage storage, and the method specifically comprises the following steps:
acquiring all supporting materials corresponding to the examination system as a supporting material library;
splitting the data of the material library to obtain all offline materials, and extracting book names and book names of online books to form an electronic book library;
and enabling each book name in the electronic book library to correspond to only one book name on line or off line, and taking the corresponding relation as a storage structure.
3. The method for assisting in propositional topic retrieval based on artificial intelligent recognition according to claim 1, wherein the online document extraction is performed according to the storage structure to form an electronic book library, specifically comprising:
after determining the storage structure, electronically scanning books in the storage structure;
performing OCR (optical character recognition) quick text extraction on the scanned books;
and storing the replicable and searchable documents in the electronic book library according to the storage structure.
4. The method for assisting in searching the propositional questions based on artificial intelligence recognition according to claim 1, wherein the method for acquiring the electronic book library and positioning and marking the internal chapters comprises the following steps:
acquiring the electronic book library, and extracting the catalogue of each replicable and searchable document in the electronic book library;
and marking the positions of the chapters according to the catalogue.
5. The auxiliary proposition examination question searching method based on artificial intelligence recognition according to claim 1, wherein the AI search analysis report is automatically completed after the proposition examination process is started, specifically comprising:
after a proposition examination command is started, the information of the current electronic book library is automatically started to be called, and the number of each chapter name and the number of the keyword are formed;
calculating a comprehensive number by using a first calculation formula;
judging chapter names and keyword names in the current proposition, and extracting all information with the same comprehensive number from the electronic book library as information association content;
setting the similarity degree between the keywords by using a second calculation formula, and extracting the content in the electronic book library from high to low according to the similarity degree of the keywords to form semantic association content;
storing the information associated content in a mode that the semantic associated content is in the front and the information associated content is in the rear as an AI retrieval analysis report;
the first calculation formula is as follows:
ZZ=Z1+1000×G1
wherein ZZ is the comprehensive number, Z1 is the number of the chapter name, and G1 is the number of the keyword;
the second calculation formula is as follows:
F=e -C
wherein F is the similarity degree between the keywords, C is the minimum synonym conversion times required by the mutual conversion between the keywords, and e is a natural constant.
6. The method for assisting in the search of questions for propositions based on artificial intelligence recognition according to claim 1, wherein the on-line analysis of the history database of the examination forms reference data of the scope of the questions for the examination, specifically comprising:
acquiring an examination history database and extracting all completed propositions;
extracting the comprehensive numbers of all propositions;
summarizing propositions with the same comprehensive number as a uniform-range proposition library;
after extracting the proposition which is being written currently, the same-range question library where the proposition is located is acquired, and the reference data of the range of the proposition is displayed.
7. The auxiliary proposition examination question retrieval method based on artificial intelligence recognition according to claim 1, wherein the auxiliary proposition interface display is performed according to the AI retrieval analysis report and the reference data of the examination proposition scope, and specifically comprises the following steps:
acquiring reference data of the AI retrieval analysis report and the range of the examination proposition;
dividing the current proposition interface into three parts, wherein the first part is the interface of the proposition, the second part is similar historical data of the proposition to be generated, and the third part is a reference document in the electronic book library;
associating the first part with the current input content, displaying an AI retrieval analysis report in the second part, and displaying reference data of the range of examination propositions in the third part;
setting the third part to be displayed and reproducible, wherein the second part is only displayed and cannot be reproduced;
the first part is an editable, replicable and attachable scope.
8. An auxiliary proposition question retrieval system based on artificial intelligence recognition, characterized in that the system is for implementing the method as claimed in any one of claims 1 to 7, the system comprising:
the electronic book library construction module is used for constructing a support material library of the examination system to generate a storage structure for carrying out information linkage storage;
the electronic data processing module is used for extracting the online document according to the storage structure to form an electronic book library;
the chapter positioning module is used for acquiring the electronic book library and positioning and marking the internal chapters;
the AI summarizing module is used for automatically completing AI retrieval analysis report after starting the proposition examination process;
the range calling module is used for analyzing and forming the reference data of the range of the examination proposition on line according to the history database of the examination;
and the auxiliary proposition module is used for carrying out auxiliary proposition interface display according to the AI retrieval analysis report and the reference data of the examination proposition range.
9. A computer readable storage medium, on which computer program instructions are stored, which computer program instructions, when executed by a processor, implement the method of any of claims 1-7.
10. An electronic device comprising a memory and a processor, wherein the memory is configured to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method of any of claims 1-7.
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