科技情报研究2025，Vol.7Issue(4)：24-34,11.DOI:10.19809/j.cnki.kjqbyj.2025.04.003
基于知识图谱的在线健康社区医疗专家专长领域识别及评价方法研究
Research on Identification and Evaluation Method of Medical Experts'Expertise Domains in Online Health Community Based on Knowledge Graph
摘要
Abstract
[Purpose/significance]This study aims to identify the expertise domains of medical experts,and evaluates their domain levels to provide a basis for community expert recommendation.[Method/process]This study utilized the improved OneRel model to structure community historical Q&A into entity relation triples.Then used the knowledge graph triples to test the consistency between the medical knowledge in the community Q&A and the domain knowl-edge,and finally obtained the doctor's domain levels by aggregating in each expertise domain.[Result/conclusion]Using the data example from xywy.com website,214 doctors in the community were ranked in terms of their average level of expertise domains and their respective reliable domains levels were identified.The study verified that the ba-sic information self-reported by doctors in online health communities,such as their expertise and personal profiles,did not fully correspond to their real competence characteristics.Compared with other medical expert discovery meth-ods,this method can intelligently identify and evaluate doctors'expertise domains,demonstrating objectivity,accuracy,and strong interpretability.关键词
在线健康社区/专家发现/知识图谱/实体关系联合抽取/可信性Key words
online health community/expert finding/knowledge graph/entity relation joint extraction/reliability分类
社会科学引用本文复制引用
席运江,张倩,李曼,于娟..基于知识图谱的在线健康社区医疗专家专长领域识别及评价方法研究[J].科技情报研究,2025,7(4):24-34,11.基金项目
国家自然科学基金项目"虚拟健康社区信息可信度评价模型及智能推荐研究"(编号:72171090) （编号:72171090）
