中华中医药学刊2025，Vol.43Issue(7)：10-16,7.DOI:10.13193/j.issn.1673-7717.2025.07.003
基于Neo4j与GDS算法的中医药治疗冠心病知识图谱构建与隐性知识规律发现方法研究
Research on Construction of Knowledge Graph of Traditional Chinese Medicine Treatment of Coronary Heart Disease and The Discovery Method of Tacit Knowledge Rules Based on Neo4j and GDS Algorithm
摘要
Abstract
The knowledge system of Traditional Chinese Medicine(TCM)is rich in contents,diverse in types and complex in relationships.Knowledge Graph(KG),as an important tool for knowledge discovery,carries a large amount of information while preserving the relationship among the information and can effectively describe and mine the tacit knowledge in TCM.KG has been developing rapidly since its introduction to the field of TCM,and it has been applied in the mining of the experience of famous and old TCM practitioners,prescription regularity analysis,intelligent Q&A and many other aspects.However,the current data mining method of KG is relatively single,mainly focusing on query retrieval,which restricts the discovery of tacit knowledge in TCM.In this paper,based on the KG of traditional Chinese medicine treatment for coronary heart disease constructed from literature,it test-ed and analyzed the algorithms commonly used in KG,such as centrality,community detection,similarity,pathfinding and so on to find the algorithms suitable for data mining in TCM and to provide assistance for the discovery of tacit knowledge in the KG in the field of TCM.关键词
知识图谱/Neo4j/GDS/知识发现/冠心病Key words
knowledge graph/Neo4j/GDS/knowledge discovery/coronary heart disease分类
医药卫生引用本文复制引用
张迪,何丽云,王鑫,孙雨辰,文天才..基于Neo4j与GDS算法的中医药治疗冠心病知识图谱构建与隐性知识规律发现方法研究[J].中华中医药学刊,2025,43(7):10-16,7.基金项目
国家自然科学基金面上项目(82374624) （82374624）
北京市自然科学基金面上项目(7232306) （7232306）
