痰湿体质知识图谱构建研究初探

Preliminary study on constructing knowledge map of phlegm-dampness constitution

目的基于Neo4j图数据库探索痰湿体质知识图谱的构建方法,为后续开展知识问答、智能辅助诊疗、养生方案推荐研究提供前期基础。方法通过检索中国知网、万方数据知识服务平台、维普资讯中文期刊服务平台,全面收集痰湿体质相关资料,并采用人工标注的方法抽取痰湿体质相关实体及实体之间的关系。参考中医临床术语及语义网络标准,从形成因素、发病倾向、特征和调理方法等方面构建痰湿体质知识图谱。结果在Neo4j图数据库中,共创建19类节点标签、6种关系类型,包含383个节点和844条连线,实现了痰湿体质知识图谱的初步构建及可视化功能展示。结论结合Neo4j图数据库技术构建痰湿体质知识图谱具有直观、高效的特点,为建立中医体质知识共享平台奠定了基础。

Objective To construct a phlegm-dampness constitution knowledge map based on the Neo4 j graph database,so as to provide a preliminary basis for the follow-up research on constitution-related question and answer,intelligent auxiliary diagnosis and treatment,and health plan recommendation.Methods The related data of phlegm-dampness constitution were comprehensively collected by searching CNKI,Wanfang Data and VIP.The entities related to phlegm-dampness constitution were extracted by manual labeling,and the relationships among them were further explored.The knowledge ontology of phlegm-dampness constitution was constructed from the aspects of forming factors,disease susceptibility,characteristics of the constitution and corresponding regulation method with reference to the TCM clinical terminology and semantic network standards.Results In the Neo4 j graph database,a total of 19 types of node labels and 6 types of relationships were created,including 383 nodes and 844 connections,which realized the preliminary construction and visualization of the phlegm-dampness constitution knowledge map.Conclusion The phlegm-dampness constitution knowledge map constructed with the Neo4 j graph database seems to be intuitive and efficient,which lays the foundation for the establishment of a knowledge sharing platform of TCM constitution.