An Exploration of the Logical Data and Knowledge Graph of Wang Xugao's Case Records Based on Knowledge Element Indexing

OBJECTIVE  To sort out and analyze the contents of Chinese medical classics by using the information technology of knowledge element theory, and to find new knowledge through exploring the implied logical relationships and constructing a knowledge graph.METHODS  Through depth indexing of Wang Xugao's Case Records based on knowledge element theory and technology, we firstly read out indexing data as logical data and carried out preliminary analysis with MS SQL Server database. Secondly, we presented the explicit knowledge by using the knowledge graph technology of Chinese medical classics based on neo4j database, and explored the underlying logical relationships to further discover the implicit knowledge.RESULTS  There were 787 knowledge bodies, 5 153 knowledge elements, 1 149 semantic types, and 510 semantic associations in Wang Xugao's Case Records. By analyzing the logical data and the structured knowledge graph, it can be seen that the knowledge elements and semantic associations of deficiency-consumption in the book are the most numerous, among which the semantic associations with liver, spleen and stomach are the most numerous.CONCLUSION  It is concluded that Wang Xugao's Case Records is characterized by the emphasis on the description of syndromes and symptoms of various diseases and the analysis of relevant etiologies and pathogenesis. Besides, Wang had rich experience in the diagnosis and treatment of deficiency-consumption. His treatment of deficiency-consumption starts with the liver, with particular attention to the pathogenesis of the disease involving both the liver and spleen.