CN107562896B - Knowledge association-based resource organization and display method - Google Patents
Knowledge association-based resource organization and display method Download PDFInfo
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Abstract
The invention discloses a resource display method based on knowledge association, wherein a user terminal searches document information by taking knowledge points as a matching basis, generates a knowledge point and document resource matching list by taking the knowledge points of a knowledge base in a server as a basis, uploads the knowledge point and document resource matching list to a resource processing center of the server, extracts video characteristics by taking the knowledge points as the matching basis, generates a knowledge point and video resource matching list by taking the knowledge points of the knowledge base in the server as a basis, uploads the knowledge point and video resource matching list to the resource processing center of the server, and when the user terminal acquires corresponding document/video resource information through the knowledge points, the server preferentially extracts records with high text similarity matching weight according to user-defined matching weight, and arranges and sends a plurality of records to a client terminal according to the weight; the invention relates the document and the video through the knowledge points, so that when the video is learned and watched, the knowledge points mentioned in the video can be found in the document resource, and vice versa.
Description
Technical Field
The invention belongs to the technical field of education, and particularly relates to a resource display method based on knowledge association.
Background
At present, with the development of technology and the continuous improvement of teaching requirements, teaching is not mainly performed by a single screen, and multi-screen teaching is gradually started. In multi-screen teaching, double-track teaching is undoubtedly the dominant force army.
In the double-track teaching, most students can check other data related to classroom teaching when learning teaching contents, so that the learning efficiency and effect are greatly improved.
However, in this teaching mode, the resources displayed on the dual screens are not closely connected, and the two screens are not affected when displayed. When the students learn to watch videos, the knowledge points mentioned in the videos also need to be found out in document resources; when some contents in the document resources are viewed, if the video resource segments related to the contents are required to be viewed, the video resource segments related to the contents also need to be manually searched in the video resources.
Therefore, the cost of the students is increased, the learning efficiency is extremely low, and the learning effect is greatly weakened.
Disclosure of Invention
In view of the above drawbacks and needs of the prior art, it is an object of the present invention to provide a resource presentation method based on knowledge association, which can associate a document with a video through a knowledge point.
The technical scheme adopted by the invention for solving the technical problems is as follows: a resource display method based on knowledge association comprises the following steps
S01, the user terminal searches document resource information according to the document characteristics including the title of the document, the word number of the document, the line number of the document, the paragraph number of the document and the page number of the document by taking the knowledge point as a matching basis, carries out similarity matching on the extracted document resource information and the knowledge point stored in a knowledge base in the server, and generates a knowledge point and document resource matching list including a knowledge point id, a document resource information id, a text similarity matching weight, a recommendation matching weight and adding time;
s02, the user terminal classifies the extracted knowledge point information, and calculates the similarity matching weight of the knowledge association by adopting a similarity matching method based on the knowledge association, wherein the similarity matching method based on the knowledge association is based on a similarity matching method of a synonym forest, and the steps are as follows:
(1) for the knowledge points A under a certain category, searching all the knowledge points under the same or similar category in a knowledge base, and traversing from the first knowledge point B;
(2) judging branches of the knowledge points A and B serving as two meaning items of leaf nodes in the synonym forest, judging from the first layer, multiplying the branches by 1 in the same way, or multiplying the branches by corresponding coefficients, and then multiplying the coefficients by an adjusting parameter cos (n ×)
) Then multiplying by a control parameter (n-k +1)/n, wherein the similarity of two meaning items is represented by similarity, and if the two meaning items are not on the same tree, the similarity (A, B) =0; if two sense items are on the same tree:
(21) if the coefficient is x in the 2 nd branch, then Similar (a, B) =1 × x cos (n ×)
)*
；
(22) If the coefficient is y in the branch of the 3 rd layer, then Similar (a, B) =1 × y × cos (n × s)
)*
；
(23) If the coefficient is z in the 4 th branch, then Similar (a, B) =1 × z × cos (n × s)
)*
；
(24) If the coefficient is q in the 5 th branch, then Similar (a, B) =1 × q × cos (n × s)
)*
；
Calculating the meaning items of A and B pairwise respectively, and taking the maximum value as the similarity value of two words; according to the calculation method, the association similarity matching weight of the knowledge point information extracted from the document and the knowledge points of the knowledge base is obtained; the initialization of the recommended matching weight is equal to the similar matching weight of the knowledge association, and the recommended matching weight is modified according to the feedback and evaluation of the user in the later period, so that the flexibility is increased;
s03, the user terminal uploads the knowledge point and the document resource matching list to a resource processing center of the server;
s04, the user terminal takes the knowledge points as the matching basis, extracts the descriptive information of the content in the video including the title of the video, the size of the video, the format of the video and the time length of the video in different periods, and carries out video similarity matching based on knowledge association on the extracted video resource time table on the basis of the knowledge points of the knowledge base in the server, and the user terminal generates a knowledge point matching list including a knowledge point id, a video resource information id, a text similarity matching degree and adding time according to the similarity matching method of the synonym forest in the step S02;
s05, the user terminal uploads the knowledge point and the video resource matching list to a resource processing center of the server;
s06, when the user terminal obtains the corresponding document resource information through the knowledge point, the server preferentially extracts the record with high text similarity matching weight according to the user-defined matching weight, and arranges a plurality of records according to the weight and sends the records to the client terminal; if the text similarity matching cannot meet the requirements, increasing the recommended matching weight and preferentially extracting the records related to the recommended matching weight;
s07, when the user terminal changes the document state, the server end firstly obtains the information of the document state, obtains the matching list of the knowledge point and the document resource according to the information of the state, finds out the corresponding knowledge point, dynamically adjusts the video playing progress by reading the matching list of the knowledge point and the video resource, and completes the display of the video resource in a self-adaptive way;
s08, when the user terminal plays the video resource, the server detects that the video resource has the set teaching action including full screen document resource, changing the document resource presentation page, making notes, and the like, if the document has no manual operation or control, the document resource presentation page is dynamically modified according to the teaching action, and the document resource is displayed in a self-adaptive manner;
s09, when the user terminal changes the video playing state, the server end firstly obtains the information of the video resource changing state, obtains the matching list of the knowledge point and the video resource according to the information of changing state, finds out the corresponding knowledge point, dynamically adjusts the document presenting page by reading the matching list of the knowledge point and the document resource, and completes the presentation of the document resource in a self-adaptive way.
The document of the resource display method based on knowledge association comprises txt, doc, html, pdf, ppt or xls files.
According to the knowledge association-based resource display method, when txt document information is extracted, paragraph processing is performed firstly, and then line processing and sentence processing are performed.
According to the knowledge association-based resource display method, paging processing is performed firstly when ppt document information is extracted, and then processing is performed on titles and contents.
In the resource display method based on knowledge association, the text similarity matching weight in step S01 is obtained by a text similarity algorithm.
According to the resource display method based on knowledge association, the video resources comprise mp4, 3gp, mkv, avi, rmvb or wmv files, and the processing of the video resources by the user terminal comprises the processing of video voice parts and the processing of video image parts.
According to the resource display method based on knowledge association, a user terminal firstly uses a voice recognition technology to extract knowledge contents in video resources aiming at a video voice part to form a video resource time table comprising a video resource time table id, and then extracts resource knowledge contents in a segmented mode according to voice meanings and extracts time points corresponding to the knowledge contents.
According to the resource display method based on knowledge association, a user terminal uses an image recognition technology to acquire teaching actions including full-screen document resources, document resource change presentation pages and note taking in videos aiming at video image parts.
In the method for resource presentation based on knowledge association, in step S07, the teacher or learner changes the video teaching content by changing the content of the document at the user terminal: after the teacher or learner opens the document resources and the video resources, the display state of the document resources is modified to obtain the changed state of the document, the knowledge point and the document resource matching list are read at the same time, the association relation between the knowledge point and the document resources is obtained, and the playing progress of the video is changed by taking the knowledge point as the center according to the read knowledge point and the video resource matching list.
In the resource display method based on knowledge association, in step S08, the teacher or learner changes the document display content by changing the video progress at the user terminal: after opening document resources and video resources, a teacher or a learner acquires the playing state of a video when the video is automatically played or the playing progress of the video is manually changed, reads a matching list of knowledge points and the video resources, acquires the association relation between the knowledge points and the video resources, and changes the presentation page of the document resources by taking the knowledge points as the center according to the read matching list of the knowledge points and the document resources; or extracting teaching actions of the video resources prepared in advance in the video resources, and changing the presentation content of the document resources according to the teaching actions.
The invention has the beneficial effects that:
the invention has a wide application range in the aspects of mobile terminal, web terminal, double-screen teaching and the like, so that the students can synchronously present document resources and video resources in the learning process, the students are more convenient in the learning process, and the learning efficiency is improved; in double-track teaching, a teacher does not need to operate two screens simultaneously, and the requirement of teaching can be basically met by operating one screen, so that the teaching process of the teacher is facilitated, and the teaching quality of the teacher is improved; the teaching plan can be designed by a teacher in resources, and the teaching process after the teaching plan is designed does not need self-display guidance to a great extent, so that the working intensity of the teacher is reduced, and teaching activities are novel. Furthermore, the resource list taking the knowledge points as the center enriches the teaching resources, enriches the teaching content and enriches the teaching quality.
Drawings
FIG. 1 is a flow diagram of a method of resource presentation in accordance with the present invention;
FIG. 2 is a flowchart of the processing of a document resource of the present invention;
FIG. 3 is a flow chart of the processing of the video asset of the present invention;
FIG. 4 is a flow chart of the presentation of resources of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The invention discloses a resource display method based on knowledge association, which is based on a user terminal and a server, wherein
The user terminal is used for processing the document resource content and the video resource content uploaded by the user to obtain a document resource and knowledge point matching list and a video resource time point and knowledge point matching list, and uploading the two lists to the server.
The server is used for extracting relevant information in the document resource and knowledge point matching list and the video resource time point and knowledge point matching list, and matching the extracted document resource content including document titles, document page numbers, document word numbers, information of each section or each page and corresponding page numbers with knowledge points by taking the knowledge points as matching bases; and matching the extracted video resource content including the video name, the video size, the video length and the corresponding meaning of each video segment with the knowledge points by taking the knowledge points as matching bases.
As shown in fig. 1, the resource display method based on knowledge association includes the following steps:
s01, extracting knowledge point information according to the document features: the user terminal searches the document information according to the document characteristics by taking the knowledge points as a matching basis, processes in different modes according to different characteristics of the document when searching the document information, and extracts the knowledge point information in the document information through algorithms such as text keyword extraction and the like after the information searching is finished.
Extracting the characteristics of the document, including the title of the document, the word number of the document, the line number of the document, the paragraph number of the document and the page number of the document; the types of document resources are various, including txt, doc, html, pdf, ppt, xls, and the like, and each type of resource has different types of characteristics, and corresponding processing is performed on different resources.
For example: the txt document has no page number information, and only contains paragraphs, lines, sentences and the like, so that information of the txt document needs to be processed for the paragraphs first and then for the lines or sentences. The ppt contains page numbers, titles, contents, paragraphs and lines, and it is necessary to page the ppt first and then to page the ppt with the titles and the contents.
The knowledge base comprises knowledge points with rich types and great data volume, wherein the extracted document resource information table is subjected to similarity matching based on knowledge association on the basis of the knowledge points, and a knowledge point and document resource matching list is finally generated and comprises the following steps: knowledge point id, document resource information id, knowledge association similarity matching weight, recommendation matching weight and adding time.
S02, the user terminal classifies the extracted knowledge point information, and calculates the similarity matching weight of the knowledge association by adopting a similarity matching method based on the knowledge association, wherein the similarity matching method based on the knowledge association is based on a similarity matching method of a synonym forest, and the steps are as follows:
(1) for the knowledge points A under a certain category, searching all the knowledge points under the same or similar category in a knowledge base, and traversing from the first knowledge point B;
(2) judging branches of the knowledge points A and B serving as two meaning items of leaf nodes in the synonym forest, judging from the first layer, multiplying the branches by 1 in the same way, or multiplying the branches by corresponding coefficients, and then multiplying the coefficients by an adjusting parameter cos (n ×)
) And then multiplied by the control parameter (n-k + 1)/n. The method comprises the following specific steps:
if the similarity of two terms is represented by Similar
If the two sense items are not on the same tree, then Similar (a, B) =0;
if the two sense items are on the same tree,
if the coefficient is x in the 2 nd branch, then Similar (a, B) =1 × x cos (n ×)
)*
；
If the coefficient is y in the branch of the 3 rd layer, then Similar (a, B) =1 × y × cos (n × s)
)*
；
If the coefficient is z in the 4 th branch, then Similar (a, B) =1 × z × cos (n × s)
)*
；
If the coefficient is q in the 5 th branch, then Similar (a, B) =1 × q × cos (n × s)
)*
；
And (4) respectively computing the meaning items of A and B pairwise, and taking the maximum value as the similarity value of the two words.
According to the above calculation method, the similarity matching weight of the knowledge point information extracted from the document and the server knowledge base can be obtained. The recommendation matching weight initialization is equal to the knowledge association similarity matching weight, and the recommendation matching weight is modified according to user feedback and evaluation in the later period, so that the flexibility is increased.
The knowledge association similarity matching weight is the association degree of the knowledge points and the document resource information, and the closer the association is, the larger the weight is, the weaker the association is, and the smaller the weight is. When a user acquires corresponding document resource information through the knowledge points, the records with high knowledge association similarity matching weight are preferentially extracted, and if a plurality of related records need to be extracted, the corresponding records are respectively extracted according to the weight. The recommended matching weight is modified according to user feedback and evaluation, when similarity matching based on knowledge association cannot meet requirements, the recommended matching weight can be increased, and records related to the recommended matching weight are preferentially extracted, so that flexibility is greatly improved, and different requirements are met.
S03, the user terminal uploads the knowledge point and the document resource matching list to a resource processing center of the server;
s04, the user terminal takes the knowledge points as the matching basis, extracts the characteristics of the video, including the title of the video, the size of the video, the format of the video and the time length of the video, and extracts the content descriptive information (video characteristics) in the video at different time intervals; here, similarity matching based on knowledge association is performed on the extracted video resource schedule on the basis of the knowledge points, and the user terminal generates a knowledge point and video resource matching list including the knowledge point id, the video resource information id, the text similarity matching weight, the recommendation matching weight, and the adding time according to the step S02.
There are many types of video assets, including mp4, 3gp, mkv, avi, rmvb, wmv, etc., and the processing of video assets includes two aspects: one is the processing of the voice portion of the video resource and one is the processing of the video image portion. Aiming at a video voice part, extracting knowledge content in video resources by using a voice recognition technology to form a video resource time table comprising a video resource time table id, and then segmenting the extracted resource knowledge content according to a voice meaning and extracting a time point corresponding to the knowledge content; aiming at the processing of the video image part, the teaching actions including full-screen document resources, document resource change presentation pages and note taking in the video are obtained by using an image recognition technology.
The teaching action contained in the video resource is a special teaching action, and is mainly used for enabling students to better follow the guidance of teachers on the premise that the students do not have the guidance of the teachers on the spot, and the learning efficiency is improved.
S05, the user terminal uploads the knowledge point and the video resource matching list to a resource processing center of the server;
s06, when the user terminal obtains the corresponding document resource information through the knowledge point, the server preferentially extracts the record with high text similarity matching weight according to the user-defined matching weight, and arranges a plurality of records according to the weight and sends the records to the client terminal; if the text similarity matching cannot meet the requirements, increasing the recommended matching weight and preferentially extracting the records related to the recommended matching weight;
s07, when the user terminal changes the document state, the server end firstly obtains the information of the document state, obtains the matching list of the knowledge point and the document resource according to the information of the state, finds out the corresponding knowledge point, dynamically adjusts the video playing progress by reading the matching list of the knowledge point and the video resource, and completes the display of the video resource in a self-adapting way.
In the step, the teacher or learner changes the video teaching content by changing the content of the document at the user terminal: after the teacher or learner opens the document resources and the video resources, the display state of the document resources is modified to obtain the changed state of the document, the knowledge point and the document resource matching list are read at the same time, the association relation between the knowledge point and the document resources is obtained, and the playing progress of the video is changed by taking the knowledge point as the center according to the read knowledge point and the video resource matching list.
S08, when the user terminal plays the video resource, the server detects that the video resource has the set teaching action including full screen document resource, changing the document resource presenting page, making notes, and the like, if the document has no manual operation or control, the document resource presenting page is dynamically modified according to the teaching action, and the document resource is displayed in a self-adaptive manner.
In the step, the teacher or learner changes the document display content by changing the video progress at the user terminal:
after opening document resources and video resources, a teacher or a learner acquires the playing state of a video when the video is automatically played or the playing progress of the video is manually changed, reads a matching list of knowledge points and the video resources, acquires the association relation between the knowledge points and the video resources, and changes the presentation page of the document resources by taking the knowledge points as the center according to the read matching list of the knowledge points and the document resources;
or extracting teaching actions of the video resources prepared in advance in the video resources, and changing the presentation content of the document resources according to the teaching actions.
S09, when the user terminal changes the video playing state, the server end firstly obtains the information of the video resource changing state, obtains the matching list of the knowledge point and the video resource according to the information of changing state, finds out the corresponding knowledge point, dynamically adjusts the document presenting page by reading the matching list of the knowledge point and the document resource, and completes the presentation of the document resource in a self-adaptive way.
The instructor or learner can teach or learn by changing the content of the document to change the video teaching content, or by changing the progress of the video to change the document display content.
In the first way, the instructor or learner modifies the display state of the document resource after opening the document resource and the video resource, such as: changing the page of the document resource (if the page number exists), changing the position of a mouse cursor, selecting a segment of characters in the document, and the like, so as to obtain the changed state of the document, reading the matching list of the knowledge point and the document resource, obtaining the incidence relation of the knowledge point and the document resource, and then matching the list with the video resource according to the read knowledge point, comprising: the method comprises the steps of changing the playing progress of a video by taking a knowledge point as a center, wherein the knowledge point id, the video resource information id, the knowledge association similarity matching weight, the recommendation matching weight and the adding time are used as the information.
In the second way, after the teacher or learner opens the document resource and the video resource, there are two changes: the 1 st type is that when the video is automatically played or the playing progress of the video is manually changed, the playing state of the video can be acquired, and the method comprises the following steps: the method comprises the following steps of (1) reading a knowledge point and video resource matching list to obtain an association relation between the knowledge point and video resources, and then matching the list with document resources according to the read knowledge point, wherein the list comprises: knowledge point id, document resource information id, knowledge association similarity matching weight, recommendation matching weight and adding time. And changing the presentation page of the document resource by taking the knowledge point as a center. The 2 nd method is to extract the teaching actions of the video resources prepared in advance in the video resources, including full-screen document resources, changing the presentation page of the document resources, making notes, etc., and change the presentation contents of the document resources according to the teaching actions (before changing, it is judged whether the document resources are considered to be operated at first, if so, human operation is taken as the main, and the presentation contents are not changed.
Further, when the video playing progress is changed, searching the corresponding knowledge point ID after the video playing progress is changed in the resource processing center, searching the corresponding document resource information according to the knowledge point ID, and finally changing the state of the document resource information;
further, when the document resource page or the mouse cursor is changed, searching a knowledge point ID corresponding to the document information page in the resource processing center, searching corresponding video resource information according to the knowledge point ID, and finally changing the playing state of the video resource;
further, the knowledge points store the incidence relation of the knowledge points according to the strength of the correlation among the knowledge points;
further, the associated weight of the matching of the knowledge point and the document resource is stored in the matching list of the knowledge point and the document resource, and the record with the highest weight is preferentially extracted during searching;
further, the associated weight of the matching of the knowledge point and the video resource is stored in the matching list of the knowledge point and the video resource, and the record with the highest weight is preferentially extracted during searching;
further, when the video progress is changed, searching a corresponding knowledge point ID after the video progress is changed in a resource processing center, searching a knowledge point ID with the strongest association relationship in a knowledge point association relationship library when the corresponding document resource information cannot be searched according to the knowledge point ID, and then searching the corresponding document resource information according to the searched knowledge point ID; if the document resource information cannot be found, according to the above operation, continuously searching the knowledge point ID with the second close association relationship in the knowledge point association library, and so on until the corresponding document resource information can be found.
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (9)
1. A resource display method based on knowledge association is characterized in that: comprises the following steps
S01, the user terminal searches document resource information according to the document characteristics including the title of the document, the word number of the document, the line number of the document, the paragraph number of the document and the page number of the document by taking the knowledge point as a matching basis, carries out similarity matching on the extracted document resource information and the knowledge point stored in a knowledge base in the server, and generates a knowledge point and document resource matching list including a knowledge point id, a document resource information id, a text similarity matching weight, a recommendation matching weight and adding time;
s02, the user terminal classifies the extracted knowledge point information, and calculates the similarity matching weight of the knowledge association by adopting a similarity matching method based on the knowledge association, wherein the similarity matching method based on the knowledge association comprises the following steps:
(1) for the knowledge points A under a certain category, searching all the knowledge points under the same or similar category in a knowledge base, and traversing from the first knowledge point B;
(2) judging branches of the knowledge points A and B serving as two meaning items of leaf nodes in the synonym forest, judging from the first layer, multiplying the branches by 1 in the same way, or multiplying the branches by corresponding coefficients, and then multiplying the coefficients by an adjusting parameter cos (n ×)
) Then multiplying by a control parameter (n-k +1)/n, wherein the similarity of two meaning items is represented by similarity, and if the two meaning items are not on the same tree, the similarity (A, B) =0; if two sense items are on the same tree:
(21) if the coefficient is x in the 2 nd branch, then Similar (a, B) =1 × x cos (n ×)
)*
；
(22) If the coefficient is y in the branch of the 3 rd layer, then Similar (a, B) =1 × y × cos (n × s)
)*
；
(23) If the coefficient is z in the 4 th branch, then Similar (a, B) =1 × z × cos (n × s)
)*
；
(24) If the coefficient is q in the 5 th branch, then Similar (a, B) =1 × q × cos (n × s)
)*
；
Calculating the meaning items of A and B pairwise respectively, and taking the maximum value as the similarity value of two words; according to the calculation method, the association similarity matching weight of the knowledge point information extracted from the document and the knowledge points of the knowledge base is obtained;
s03, the user terminal uploads the knowledge point and the document resource matching list to a resource processing center of the server;
s04, the user terminal takes the knowledge points as the matching basis, extracts the descriptive information of the content in the video including the title of the video, the size of the video, the format of the video and the time length of the video in different periods, and carries out video similarity matching based on knowledge association on the extracted video resource schedule on the basis of the knowledge points of the knowledge base in the server, and the user terminal generates a matching list of the knowledge points and the video resources, wherein the matching list comprises the knowledge point id, the video resource information id, the text similarity matching degree and the adding time according to the step S02;
s05, the user terminal uploads the knowledge point and the video resource matching list to a resource processing center of the server;
s06, when the user terminal obtains the corresponding document resource information through the knowledge point, the server preferentially extracts the record with high text similarity matching weight according to the user-defined matching weight, and arranges a plurality of records according to the weight and sends the records to the client terminal; if the text similarity matching cannot meet the requirements, increasing the recommended matching weight and preferentially extracting the records related to the recommended matching weight;
s07, when the user terminal changes the document state, the server end firstly obtains the information of the document state, obtains the matching list of the knowledge point and the document resource according to the information of the state, finds out the corresponding knowledge point, dynamically adjusts the video playing progress by reading the matching list of the knowledge point and the video resource, and completes the display of the video resource in a self-adaptive way;
s08, when the user terminal plays the video resource, the server detects that the video resource contains the full screen document resource, changes the set teaching action including the document resource presenting page and note making, if the document has no manual operation or control, the document resource presenting page is dynamically modified according to the teaching action, and the document resource is displayed in a self-adaptive manner;
s09, when the user terminal changes the video playing state, the server end firstly obtains the information of the video resource changing state, obtains the matching list of the knowledge point and the video resource according to the information of changing state, finds out the corresponding knowledge point, dynamically adjusts the document presenting page by reading the matching list of the knowledge point and the document resource, and completes the presentation of the document resource in a self-adaptive way.
2. The method of claim 1, wherein the document comprises txt, doc, html, pdf, ppt or xls files.
3. The method of claim 2, wherein txt document information is extracted by processing paragraphs and then lines and sentences.
4. The method as claimed in claim 2, wherein the pagination process is performed first when extracting ppt document information, and then the processing is performed for title and content.
5. The method as claimed in claim 1, wherein the video assets include mp4, 3gp, mkv, avi, rmvb or wmv files, and the processing of the video assets by the user terminal includes processing of video voice parts and processing of video image parts.
6. The resource display method based on knowledge correlation as claimed in claim 5, wherein the user terminal firstly uses voice recognition technology to extract the knowledge content in the video resource for the video voice part to form a video resource schedule including a video resource schedule id, and then segments the extracted resource knowledge content according to the voice meaning and extracts the time point corresponding to the knowledge content.
7. The method as claimed in claim 5, wherein the user terminal uses image recognition technology to obtain teaching actions including full screen document resources, changing document resource presentation pages, and taking notes in the video for the video image part.
8. The method for resource exhibition based on knowledge correlation as claimed in claim 1, wherein the teacher or learner changes the video teaching contents by changing the contents of the document at the user terminal in step S07: after the teacher or learner opens the document resources and the video resources, the display state of the document resources is modified to obtain the changed state of the document, the knowledge point and the document resource matching list are read at the same time, the association relation between the knowledge point and the document resources is obtained, and the playing progress of the video is changed by taking the knowledge point as the center according to the read knowledge point and the video resource matching list.
9. The method for resource exhibition based on knowledge association as claimed in claim 1, wherein the instructor or learner changes the document display content by changing the video progress at the user terminal in step S08:
after opening document resources and video resources, a teacher or a learner acquires the playing state of a video when the video is automatically played or the playing progress of the video is manually changed, reads a matching list of knowledge points and the video resources, acquires the association relation between the knowledge points and the video resources, and changes the presentation page of the document resources by taking the knowledge points as the center according to the read matching list of the knowledge points and the document resources;
or extracting teaching actions of the video resources prepared in advance in the video resources, and changing the presentation content of the document resources according to the teaching actions.
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| CN108335363A (en) * | 2018-01-22 | 2018-07-27 | 上海星合网络科技有限公司 | Multidimensional knowledge system stereo exhibition method and device |
| CN108563749B (en) * | 2018-04-16 | 2020-11-10 | 中山大学 | Online education system resource recommendation method based on multi-dimensional information and knowledge network |
| CN108900917A (en) * | 2018-07-09 | 2018-11-27 | 东北大学 | A kind of online teaching audio/video player system and method towards the structure of knowledge |
| CN111241386A (en) * | 2018-11-28 | 2020-06-05 | 中国移动通信集团有限公司 | Information processing method and device and storage medium |
| CN110119473B (en) * | 2019-05-23 | 2023-02-03 | 北京金山数字娱乐科技有限公司 | Method and device for constructing target file knowledge graph |
| CN110415569B (en) * | 2019-06-29 | 2021-08-03 | 嘉兴梦兰电子科技有限公司 | Campus classroom sharing education method and system |
| CN111314792B (en) * | 2020-02-27 | 2022-04-08 | 北京奇艺世纪科技有限公司 | Note generation method, electronic device and storage medium |
| CN111813993A (en) * | 2020-09-04 | 2020-10-23 | 中山大学深圳研究院 | Video content expanding method and device, terminal equipment and storage medium |
| CN112256834B (en) * | 2020-10-28 | 2021-06-08 | 中国科学院声学研究所 | Marine science data recommendation system based on content and literature |
| CN112286943B (en) * | 2020-12-26 | 2021-04-20 | 东华理工大学南昌校区 | Ideological and political theory teaching plan display method and system based on current affair case optimization |
| CN113177026B (en) * | 2021-04-16 | 2022-11-22 | 山东亿方锦泽信息科技有限公司 | Live-broadcasting bullet screen learning note management method based on teaching video |
| CN115119066B (en) * | 2022-06-30 | 2024-03-29 | 武汉美和易思数字科技有限公司 | Teaching video interaction method and system based on dynamic weights |
| CN117435746B (en) * | 2023-12-18 | 2024-02-27 | 广东信聚丰科技股份有限公司 | Knowledge point labeling method and system based on natural language processing |
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