Design and Implementation of TCM Knowledge Graph Based on Professional Books and Web Data
Traditional Chinese medicine has a history of over 5000 years in China and plays an important role in the reproduction and health of the Chinese nation.However,traditional Chinese medicine data is usually unstructured,which seriously affects the popularization and appli-cation of traditional Chinese medicine knowledge.Therefore,structuring traditional Chinese medicine data is of great significance.For the problem of unstructured data in traditional Chinese medicine,we designed and implemented a knowledge graph of traditional Chinese medi-cine.Firstly,six relationships including medicinal herbs,aliases,and functional indications were selected to construct the conceptual layer of the knowledge graph of traditional Chinese medicine.Then,using six types of relationships,data was obtained from professional books such as agricultural lexicons and traditional Chinese medicine websites,and traditional Chinese medicine knowledge was processed to obtain triplet form of traditional Chinese medicine knowledge.Finally,the knowledge of traditional Chinese medicine would be stored in the Neo4j database and presented.The construction of a knowledge graph of traditional Chinese medicine would greatly improve the comprehensibility and accessibility of traditional Chi-nese medicine knowledge,providing data support for later clinical decision-making and traditional Chinese medicine research.
A knowledge graph of traditional Chinese medicineRelationCrawler techniqueNeo4j
万方数据
维普
