Construction and application of traditional Chinese medicine knowledge graph based on the Chinese Pharmacopoeia

Corresponding author: GONG Mengchun, gmc@nrdrs.org

DOI: 10.12201/bmr.202407.00039

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  Abstract: Purpose/Significance Introduce the ontology theory in the field of electronic information technology into the study of TCM (traditional Chinese medicine) terminology, and demonstrate in a vivid way the dialectical relationship between the therapeutic effects of TCM and its nature, flavor, meridians and TCM diseases.Method/Process The top-down ontology construction method is adopted to build the top-level structure of TCM ontology on the Protégé platform. Taking the 2020 edition of the Chinese Pharmacopoeia as the data source, the TCM information in the pharmacopoeia is split and extracted, and the information of each axis is sorted, disambiguated and normalized. With the help of the Protégé platform, entities and relationships are created, and the TCM triple data is output in RDF data format. Finally, the Neo4j graph database is used to store and display the RDF data to form a systematic TCM knowledge graph.Result/Conclusion It mainly realizes the construction of the knowledge graph of TCM in the pharmacopoeia, and fully reveals the complex knowledge system structure in the field of TCM through data statistical analysis, knowledge measurement and drawing of visual graphics.

  Key words: Traditional Chinese Medicine; Chinese Pharmacopoeia; Knowledge graph; Protégé; Neo4j

  Submit time: 17 July 2024

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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