To introduce the knowledge graph technology in the field of electronic information into the study of traditional Chinese medicine (TCM) terminology, and to demonstrate the dialectical relationship between the therapeutic effects of TCM and its nature, flavor, meridians and TCM diseases in a vivid way. 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.