Traditional Chinese medicine encyclopedia platform based on network hypertext system

Abstract

The invention discloses a traditional Chinese medicine encyclopedia platform based on a network hypertext system, and belongs to the technical field of network information platforms. Comprising a knowledge modeling module, a knowledge auditing module, a knowledge management module and a knowledge display module. The knowledge modeling module is used for providing a traditional Chinese medicine knowledge creating and editing interface, dividing the input traditional Chinese medicine knowledge into different hypertext nodes and defining the relation of the hypertext nodes so as to construct a traditional Chinese medicine knowledge network structure; the knowledge auditing module uses a natural language processing technology and a machine learning algorithm to detect grammar errors, semantic consistency and existing knowledge conflict conditions of newly created traditional Chinese medicine knowledge; the knowledge management module performs classification management on the hypertext nodes according to an inherent classification standard of a traditional Chinese medicine knowledge system, and establishes indexes of the hypertext nodes at the same time; recording the modification history of the traditional Chinese medicine knowledge, and creating a new traditional Chinese medicine knowledge version when the knowledge is updated; the invention relates to a hypertext node-based relationship.

Description

Technical Field

[0001] The present invention relates to the technical field of network information platforms, and particularly to a traditional Chinese medicine encyclopedia platform based on a network hypertext system. Background Art

[0002] With the development of Internet technology, there have been great changes in the ways of information dissemination and acquisition. At present, there are many problems in the dissemination of traditional Chinese medicine knowledge. On the one hand, it is inconvenient to consult traditional paper-based Chinese medicine classics, and the information is scattered; on the other hand, some existing traditional Chinese medicine knowledge platforms lack systematicness and convenient interactivity, and it is difficult to meet the diverse needs of users. The network hypertext system provides a new idea for the integration and presentation of information with its flexible link and organization methods. However, there is currently no mature solution that fully applies it to the construction of the traditional Chinese medicine encyclopedia knowledge system. Summary of the Invention

[0003] The purpose of the present invention is to provide a traditional Chinese medicine encyclopedia platform based on a network hypertext system to solve the problems raised in the above background art.

[0004] In view of the above problems, the technical solution proposed by the present invention is:

[0005] A traditional Chinese medicine encyclopedia platform based on a network hypertext system, comprising a knowledge modeling module, a knowledge review module, a knowledge management module, and a knowledge display module;

[0006] Among them, the knowledge modeling module is used to provide an interface for creating and editing traditional Chinese medicine knowledge, divide the input traditional Chinese medicine knowledge into different hypertext nodes and define the relationships of the hypertext nodes to construct a traditional Chinese medicine knowledge network structure; the knowledge modeling module includes: a content creation and editing unit and a hypertext node and link definition unit; among them, the content creation and editing unit provides a content creation interface and is used for the input and editing of traditional Chinese medicine knowledge; the link definition unit divides the input traditional Chinese medicine knowledge into different hypertext nodes and constructs a network structure of traditional Chinese medicine knowledge by defining the link relationships between the hypertext nodes.

[0007] The knowledge review module uses natural language processing technology and machine learning algorithms to detect grammar errors, semantic consistency, and conflicts with existing knowledge in newly created traditional Chinese medicine knowledge. The knowledge review module includes an intelligent preliminary review unit, a professional review unit, and a user feedback and dispute handling unit. Among them, the intelligent preliminary review unit uses natural language processing technology and machine learning algorithms to conduct a preliminary review of newly created or modified traditional Chinese medicine knowledge, and judges the semantic conflicts of traditional Chinese medicine knowledge through text similarity calculation. The professional review unit is used to conduct manual review of the traditional Chinese medicine knowledge passed by the intelligent preliminary review unit. The user feedback and dispute handling unit is used to receive questions or suggestions from users regarding traditional Chinese medicine knowledge, and use the professional review unit to review the questions or suggestions, and finally correct the traditional Chinese medicine knowledge according to the review results.

[0008] The knowledge management module classifies and manages hypertext nodes according to the inherent classification criteria of the traditional Chinese medicine knowledge system, and at the same time establishes an index for hypertext nodes; records the modification history of traditional Chinese medicine knowledge, and creates a new version of traditional Chinese medicine knowledge when the knowledge is updated; based on the relationship of hypertext nodes, uses big data analysis and knowledge graph technology to mine the potential associations between traditional Chinese medicine knowledge, and expands and displays them in relevant knowledge nodes. The knowledge management module includes a knowledge classification and indexing unit, a version management unit, and a knowledge association and expansion unit. Among them, the knowledge classification and indexing unit classifies and manages hypertext nodes according to the inherent classification of the traditional Chinese medicine knowledge system, and at the same time establishes indexing methods such as keyword indexing, subject indexing, indexing based on knowledge association, and time indexing. The version management unit records the modification history of traditional Chinese medicine knowledge, and creates a new version of traditional Chinese medicine knowledge when the traditional Chinese medicine knowledge is updated. The knowledge association and expansion unit mines the potential associations between traditional Chinese medicine knowledge based on the link relationship of hypertext nodes, and expands and displays them in the corresponding nodes of traditional Chinese medicine knowledge.

[0009] The knowledge display module is used to achieve adaptive display, personalized recommend traditional Chinese medicine knowledge according to user data, and at the same time display traditional Chinese medicine knowledge in the form of pictures and videos. The knowledge display module includes a multi-terminal adaptation unit and a personalized display unit. Among them, the multi-terminal adaptation unit enables the platform to adaptively display on computers, mobile phones, tablets, and smart TVs, and optimizes the display interface layout and interaction methods for different terminal display methods. The personalized display unit uses personalized recommendation algorithms to push personalized traditional Chinese medicine knowledge to users based on the user's browsing history, search records, and favorite content data.

[0010] As a preferred technical solution of the present invention, data interaction is carried out between the knowledge modeling module, the knowledge review module, the knowledge management module, and the knowledge display module through a message queue mechanism.

[0011] As a preferred technical solution of the present invention, in the content creation and editing unit, functions such as cropping, color adjustment, and annotation addition are provided for pictures, and operations such as video editing and subtitle addition are supported for videos.

[0012] As a preferred technical solution of the present invention, the intelligent preliminary review unit calculates the text similarity using the cosine similarity formula, specifically:

[0013]

[0014] where A and B respectively represent two text vectors, A i and B i are the values of the vectors in the i-th dimension, and n is the dimension of the vectors.

[0015] As a preferred technical solution of the present invention, when the version management unit creates a new version of traditional Chinese medicine knowledge, it records the differences between the new and old versions and generates a version difference report.

[0016] As a preferred technical solution of the present invention, the knowledge association and expansion unit mines the potential associations between knowledge using the Pearson correlation coefficient formula, specifically:

[0017]

[0018] where x o and y o are respectively the o-th sample values of the characteristics of two knowledge nodes, and are the sample means of the corresponding characteristics, t is the number of samples, o is the sample sequence, and the closer the absolute value of r is, the stronger the correlation between the characteristics of the two knowledge nodes.

[0019] As a preferred technical solution of the present invention, the personalized display unit performs personalized recommendation using the collaborative filtering algorithm based on the user-item rating matrix, specifically:

[0020]

[0021] where l is a knowledge node, u and v are users, is the predicted rating of user u for knowledge node l, is the average rating of user u for the rated knowledge nodes, S(u,k) is the set of the k users most similar to user u, w u,v is the similarity between user u and user v, r v,l is the actual rating of user v for the knowledge node, is the average rating of user v for the rated knowledge nodes.

[0022] Compared with the prior art, the beneficial effects of the present invention are:

[0023] I. Knowledge Integration and Systematization: The knowledge modeling module constructs various types of traditional Chinese medicine (TCM) knowledge into a network structure, integrating the TCM knowledge scattered in traditional paper classics and different platforms. For example, knowledge such as TCM theory, prescriptions, medicinal materials, and diseases is associated through hypertext nodes and links. When a user enters "cold", they can not only see basic information such as the symptoms and causes of a cold but also quickly find the prescriptions for treating a cold, the medicinal materials used, and the relevant TCM theory explanations through links, forming a systematic knowledge system. This solves the problems of inconvenient access to traditional TCM knowledge and scattered information, facilitating users to comprehensively and deeply understand TCM knowledge.

[0024] II. Knowledge Quality Assurance: The knowledge review module uses natural language processing technology and machine learning algorithms for intelligent preliminary review, combined with the manual review of professional review units, to ensure the quality of TCM knowledge from multiple aspects. Intelligent preliminary review can quickly detect problems such as grammar errors and semantic conflicts. For example, when it detects that the efficacy description of a newly entered prescription conflicts with existing knowledge, it will prompt in a timely manner. The professional review unit is composed of senior TCM experts who review the content that has passed the preliminary review to ensure that the knowledge conforms to TCM theory and practice. The user feedback and dispute handling unit collects user opinions to further improve the knowledge content, ensuring the professionalism, accuracy, and scientific nature of the platform's knowledge and providing users with a reliable knowledge source.

[0025] III. Efficient and Orderly Knowledge Management: The classification management and multi-index methods of the knowledge management module make it more convenient for users to search for knowledge. For example, according to the inherent classification of the TCM knowledge system, users can quickly find knowledge about various medicinal materials under the classification of "Chinese Materia Medica". By entering "Astragalus membranaceus" through keyword indexing, they can directly locate the relevant content, saving search time. The version management unit records the history of knowledge modifications and generates a version difference report, facilitating users to trace the evolution process of knowledge and understand the update situation. The knowledge association and expansion unit explores potential associations of knowledge, enriching the knowledge connotation. For example, when a certain medicinal material is found to be associated with the treatment of a new disease, it is displayed at the relevant knowledge nodes, promoting the innovation and development of TCM knowledge.

[0026] IV. User Experience Optimization: The multi-terminal adaptation unit of the knowledge display module enables the platform to adaptively display on various devices. On the computer side, users can use the large screen to study complex knowledge content in detail; on the mobile side, the simple interface and optimized interaction methods facilitate users to access knowledge at any time. The personalized display unit makes recommendations based on user browsing, search, and collection data, pushing TCM knowledge that meets the user's interests. For example, if a user often browses health preservation knowledge, the platform will recommend relevant dietary therapy and exercise health preservation content, improving the efficiency of users' access to knowledge and meeting the personalized needs of users.

[0027] V. Promote the inheritance and development of traditional Chinese medicine: Through this platform, traditional Chinese medicine knowledge has been widely spread, the threshold for learning traditional Chinese medicine knowledge has been lowered, attracting more people to learn and understand traditional Chinese medicine, cultivating traditional Chinese medicine talents, and promoting the inheritance of traditional Chinese medicine culture. At the same time, functions such as knowledge association and expansion, and version update help traditional Chinese medicine practitioners and researchers obtain the latest knowledge, discover new connections between knowledge, provide support for the innovation of traditional Chinese medicine theory and the development of clinical practice, and promote the progress of the traditional Chinese medicine industry. Brief Description of the Drawings

[0028] Figure 1 It is a flowchart for constructing a traditional Chinese medicine encyclopedia platform based on a network hypertext system disclosed in an embodiment of the present invention. Detailed Embodiments

[0029] Embodiment 1

[0030] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0031] Please refer to Figure 1 , the present invention provides a technical solution: a traditional Chinese medicine encyclopedia platform based on a network hypertext system, including a knowledge modeling module, a knowledge review module, a knowledge management module, and a knowledge display module.

[0032] In an embodiment of the present invention, further, the knowledge modeling module is used to provide a creation and editing interface for traditional Chinese medicine knowledge, divide the input traditional Chinese medicine knowledge into different hypertext nodes and define the relationships of the hypertext nodes to construct a traditional Chinese medicine knowledge network structure; the knowledge modeling module includes: a content creation and editing unit and a hypertext node and link definition unit; wherein, the content creation and editing unit provides a content creation interface and is used for the input and editing of traditional Chinese medicine knowledge; the link definition unit divides the input traditional Chinese medicine knowledge into different hypertext nodes and constructs a network structure of traditional Chinese medicine knowledge by defining the link relationships between the hypertext nodes.

[0033] According to an embodiment of the present invention, further, the knowledge review module uses natural language processing technology and machine learning algorithms to detect grammatical errors, semantic consistency and conflicts with existing knowledge in newly created traditional Chinese medicine knowledge; the knowledge review module includes an intelligent preliminary review unit, a professional review unit and a user feedback and dispute handling unit; wherein, the intelligent preliminary review unit uses natural language processing technology and machine learning algorithms to perform a preliminary review of newly created or modified traditional Chinese medicine knowledge, and judges the semantic conflicts of traditional Chinese medicine knowledge by text similarity calculation; the professional review unit is used to manually review the traditional Chinese medicine knowledge passed by the intelligent preliminary review unit; the user feedback and dispute handling unit is used to receive users' questions or suggestions on traditional Chinese medicine knowledge, and use the professional review unit to review the questions or suggestions, and finally revise the traditional Chinese medicine knowledge according to the review results.

[0034] According to an embodiment of the present invention, further, the knowledge management module classifies and manages hypertext nodes according to the inherent classification standards of the TCM knowledge system, and establishes an index of the hypertext nodes; records the modification history of TCM knowledge, and creates a new TCM knowledge version when the knowledge is updated; based on the relationship between hypertext nodes, uses big data analysis and knowledge graph technology to explore the potential associations between TCM knowledge, and expands and displays them in relevant knowledge nodes; the knowledge management module includes a knowledge classification and indexing unit, a version management unit and a knowledge association and expansion unit; wherein the knowledge classification and indexing unit classifies and manages hypertext nodes according to the inherent classification of the TCM knowledge system, and establishes a keyword index, a subject index, an index based on knowledge association and a time index; the version management unit records the modification history of TCM knowledge, and creates a new TCM knowledge version when TCM knowledge is updated; the knowledge association and expansion unit uses big data analysis and knowledge graph technology based on the link relationship of hypertext nodes to explore the potential associations between TCM knowledge, and expands and displays them in the corresponding TCM knowledge nodes.

[0035] According to an embodiment of the present invention, further, the knowledge display module is used to achieve adaptive display, and personalized recommendation of Chinese medicine knowledge based on user data, and at the same time provide pictures and videos to display Chinese medicine knowledge; the knowledge display module includes a multi-terminal adaptation unit and a personalized display unit; wherein the multi-terminal adaptation unit enables the platform to be adaptively displayed on computers, mobile phones, tablets, and smart TVs, and at the same time optimizes the display interface layout and interaction method according to the display methods of different terminals; the personalized display unit uses a personalized recommendation algorithm to push personalized Chinese medicine knowledge to users based on the user's browsing history, search history, and collection content data.

[0036] In an embodiment of the present invention, further, data interaction between the knowledge modeling module, the knowledge review module, the knowledge management module, and the knowledge display module is carried out through a message queue mechanism.

[0037] In an embodiment of the present invention, further, in the content creation and editing unit, functions such as cropping, color adjustment, and adding annotations are provided for pictures, and operations such as video editing and adding subtitles are supported for videos.

[0038] In an embodiment of the present invention, further, the intelligent preliminary review unit calculates the text similarity using the cosine similarity formula, specifically:

[0039]

[0040] where A and B respectively represent two text vectors, A i and B i are the values of the vectors in the i-th dimension, and n is the dimension of the vectors.

[0041] As a preferred technical solution of the present invention, when the version management unit creates a new version of traditional Chinese medicine knowledge, it records the differences between the new and old versions and generates a version difference report.

[0042] In an embodiment of the present invention, further, the knowledge association and expansion unit mines the potential associations between knowledge using the Pearson correlation coefficient formula, specifically:

[0043]

[0044] where x o and y o are respectively the o-th sample values of the features of two knowledge nodes, and are the sample means of the corresponding features, t is the number of samples, o is the sample sequence, and the closer the absolute value of r is, the stronger the correlation between the features of the two knowledge nodes.

[0045] In an embodiment of the present invention, further, the personalized display unit performs personalized recommendation using a collaborative filtering algorithm based on the user-item rating matrix, specifically:

[0046]

[0047] where l is a knowledge node, u and v are users, is the predicted rating of user u for knowledge node l, is the average rating of user u for the rated knowledge nodes, S(u,k) is the set of the k users most similar to user u, w u,v is the similarity between user u and user v, rv,l is the actual score given by user v to the knowledge node, is the average score given by user v to the knowledge nodes that have been scored.

[0048] Next, in combination with the accompanying drawings in the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0049] Embodiment 2

[0050] Taking the actual operation of a traditional Chinese medicine hospital as an example, researchers use the traditional Chinese medicine encyclopedia platform of the present invention to carry out traditional Chinese medicine research and knowledge popularization work. This institution has rich traditional Chinese medicine research resources and an expert team, and hopes to improve the dissemination efficiency and research level of traditional Chinese medicine knowledge through the platform. Please refer to Figure 1 , the present invention provides a technical solution: a traditional Chinese medicine encyclopedia platform based on a network hypertext system, including the following steps:

[0051] As an embodiment of the present invention, further, researchers log in to the content creation and editing unit of the knowledge modeling module of the platform, and use the rich text editing function provided by the platform to input knowledge content about "acupuncture treatment for insomnia". During the input process, they uploaded relevant acupoint diagrams and inserted a video of a professional traditional Chinese medicine doctor explaining acupuncture operations. At the same time, they elaborated on the traditional Chinese medicine syndrome differentiation types of insomnia, the principles of acupuncture treatment, the selection of specific acupoints, and acupuncture techniques.

[0052] As an embodiment of the present invention, further, after the knowledge input is completed, the hypertext node and link definition unit divides these contents into different hypertext nodes, such as "syndrome differentiation types of insomnia", "principles of acupuncture treatment for insomnia", "acupoints for treating insomnia", etc. And, the link relationships between the nodes are defined. The "syndrome differentiation types of insomnia" node is linked to the "principles of acupuncture treatment for insomnia" node to show the differences in treatment principles corresponding to different syndrome differentiation types; the "acupoints for treating insomnia" node is linked to the "principles of acupuncture treatment for insomnia" node to explain the basis for acupoint selection. In addition, links are also established with existing relevant knowledge nodes such as "acupoints" and "acupuncture" on the platform to construct a complete knowledge network.

[0053] As an embodiment of the present invention, further, the newly created knowledge content enters the knowledge review module. The intelligent preliminary review unit first uses natural language processing technology and machine learning algorithms to calculate the text similarity through the cosine similarity formula to conduct a preliminary review of the content. It detects that the text is grammatically correct, semantically coherent, and has no conflict with the existing knowledge on the platform, and determines that the preliminary review has passed. Then, senior Chinese medicine experts in the professional review unit manually review the content. With rich clinical experience and profound professional knowledge, the experts carefully review the accuracy and professionalism of the content, and pass the review after confirming that it is correct.

[0054] In one embodiment of the present invention, further, after the knowledge review is passed, it enters the knowledge management module. The knowledge classification and indexing unit classifies the knowledge nodes related to "acupuncture treatment of insomnia" into the category of "TCM clinical-acupuncture treatment" based on the inherent classification of the TCM knowledge system. At the same time, a keyword index is established, such as "acupuncture", "insomnia", "acupoints", etc.; the subject index classifies it into the theme of "disease treatment-neurological diseases"; based on the index of knowledge association, it is associated with related knowledge nodes such as "Basic Theory of TCM-Meridian Theory" and "TCM Diagnosis-Treatment Based on Syndrome Differentiation"; the time index records the creation time of the knowledge. The version management unit records the initial version information of the knowledge. The knowledge association and expansion unit uses big data analysis and knowledge graph technology to find that there is a potential correlation between the knowledge nodes of "acupuncture treatment of insomnia" and "TCM health-sleep conditioning", so the relevant health suggestions are expanded and displayed in the "acupuncture treatment of insomnia" node, such as foot soaking before bed, meditation and other methods to assist in improving sleep.

[0055] An embodiment of the present invention further enables ordinary users to acquire knowledge through the knowledge display module when using the platform. The multi-terminal adaptation unit enables the platform to be adaptively displayed on the user's mobile phone, and the concise interface layout facilitates user operation. When the user opens the platform, the personalized display unit pushes the knowledge content of "acupuncture treatment of insomnia" to the user according to his browsing history, search history and favorite content, using a collaborative filtering algorithm based on the user-item rating matrix. The user clicks to view, and through a combination of pictures, videos and text, he fully understands the knowledge of acupuncture treatment of insomnia, including acupoint locations, operation methods and precautions, etc. During the viewing process, the user has questions about some of the content and submits the questions through the user feedback and dispute handling unit. After receiving the questions, the unit uses the professional review unit to review the questions, and the experts give detailed answers and appropriately supplement and correct the knowledge content. The improved knowledge is updated to the platform for reference by more users.

Claims

1. A traditional Chinese medicine encyclopedia platform based on a network hypertext system, characterized in that, Including: A knowledge modeling module, a knowledge review module, a knowledge management module, and a knowledge display module; Among them, the knowledge modeling module is used to provide a creation and editing interface for traditional Chinese medicine knowledge, divide the input traditional Chinese medicine knowledge into different hypertext nodes, and define the relationships of the hypertext nodes to construct the network structure of traditional Chinese medicine knowledge; The knowledge review module uses natural language processing technology and machine learning algorithms to detect grammar errors, semantic consistency, and conflicts with existing knowledge in newly created traditional Chinese medicine knowledge; The knowledge management module classifies and manages hypertext nodes according to the inherent classification criteria of the traditional Chinese medicine knowledge system, and at the same time establishes an index for the hypertext nodes; records the modification history of traditional Chinese medicine knowledge, and creates a new version of traditional Chinese medicine knowledge when the knowledge is updated; based on the relationships of hypertext nodes, uses big data analysis and knowledge graph technology to mine the potential associations between traditional Chinese medicine knowledge, and expands and displays them in relevant knowledge nodes; The knowledge display module is used to achieve adaptive display, personalize the recommendation of traditional Chinese medicine knowledge according to user data, and at the same time display traditional Chinese medicine knowledge in the form of pictures and videos.

2. The Chinese medicine encyclopedia platform based on a network hypertext system according to claim 1, characterized in that The knowledge modeling module includes: a content creation and editing unit and a hypertext node and link definition unit; Among them, the content creation and editing unit provides a content creation interface and is used for the input and editing of traditional Chinese medicine knowledge; The link definition unit divides the input traditional Chinese medicine knowledge into different hypertext nodes and constructs the network structure of traditional Chinese medicine knowledge by defining the link relationships between the hypertext nodes.

3. The traditional Chinese medicine encyclopedia platform based on a network hypertext system according to claim 1, characterized in that The knowledge review module includes an intelligent preliminary review unit, a professional review unit, and a user feedback and dispute handling unit; Among them, the intelligent preliminary review unit uses natural language processing technology and machine learning algorithms to conduct a preliminary review of newly created or modified traditional Chinese medicine knowledge, and judges the semantic conflicts of traditional Chinese medicine knowledge through text similarity calculation; The professional review unit is used to conduct manual review of the traditional Chinese medicine knowledge passed by the intelligent preliminary review unit; The user feedback and dispute handling unit is used to receive the questions or suggestions of users about traditional Chinese medicine knowledge, use the professional review unit to review the questions or suggestions, and finally correct the traditional Chinese medicine knowledge according to the review results.

4. A traditional Chinese medicine encyclopedia platform based on a network hypertext system according to claim 1, characterized in that, The knowledge management module includes a knowledge classification and indexing unit, a version management unit, and a knowledge association and expansion unit; Among them, the knowledge classification and indexing unit classifies and manages hypertext nodes according to the inherent classification of the traditional Chinese medicine knowledge system, and at the same time establishes indexing methods such as keyword index, subject index, index based on knowledge association, and time index; The version management unit records the modification history of traditional Chinese medicine knowledge, and creates a new version of traditional Chinese medicine knowledge when the traditional Chinese medicine knowledge is updated; The knowledge association and expansion unit, based on the link relationships of hypertext nodes, uses big data analysis and knowledge graph technology to mine the potential associations between traditional Chinese medicine knowledge, and expands and displays them in the corresponding nodes of traditional Chinese medicine knowledge.

5. The traditional Chinese medicine encyclopedia platform based on a network hypertext system according to claim 1, characterized in that The knowledge display module includes a multi-terminal adaptation unit and a personalized display unit; Among them, the multi-terminal adaptation unit enables the platform to be adaptively displayed on computers, mobile phones, tablets, and smart TVs, and optimizes the display interface layout and interaction methods for different terminals. The personalized display unit uses personalized recommendation algorithms to push personalized traditional Chinese medicine knowledge to users based on their browsing history, search records, and favorite content data.

6. The traditional Chinese medicine encyclopedia platform based on a network hypertext system according to claim 1, characterized in that, Data interaction is carried out between the knowledge modeling module, knowledge review module, knowledge management module, and knowledge display module through a message queue mechanism.

7. The Chinese medicine encyclopedia platform based on a network hypertext system according to claim 2, wherein In the content creation and editing unit, functions such as cropping, color adjustment, and annotation addition are provided for pictures, and operations such as video editing and subtitle addition are supported for videos.

8. The traditional Chinese medicine encyclopedia platform based on a network hypertext system according to claim 3, characterized in that, The intelligent preliminary review unit calculates the text similarity using the cosine similarity formula.

9. The Chinese medicine encyclopedia platform based on a network hypertext system according to claim 4, characterized in that, When creating a new version of traditional Chinese medicine knowledge, the version management unit records the differences between the new and old versions and generates a version difference report.

10. A traditional Chinese medicine encyclopedia platform based on a network hypertext system according to claim 5, characterized in that, The personalized display unit uses a collaborative filtering algorithm based on the user-item rating matrix for personalized recommendation.

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