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基于医学知识图谱的慢性病在线医疗社区分面检索研究
引用本文:翟姗姗,潘英增,胡畔,郑路.基于医学知识图谱的慢性病在线医疗社区分面检索研究[J].情报理论与实践,2021(1):195-203.
作者姓名:翟姗姗  潘英增  胡畔  郑路
作者单位:华中师范大学信息管理学院;湖北省数据治理与智能决策研究中心
基金项目:华中师范大学中央高校基本科研业务费资助项目“非遗知识图谱构建及其在数字人文领域中的应用研究”(项目编号:CCNU20A06027);华中师范大学信息管理学院研究生自主科研项目“融合Folksonomy与知识图谱的消费者健康信息组织”的成果之一。
摘    要:目的/意义]基于知识图谱与分面检索能够实现健康信息的有效组织,解决其多源异构、专业知识门槛高、语义歧义等方面的问题,从而帮助用户降低专业性医疗知识的使用门槛,引导用户更快获取资源。方法/过程]将知识图谱与分面检索相结合,构建基于医学知识图谱的慢性病在线医疗社区分面检索模型,主要包括分面体系构建、分面与焦点排序以及分面展现控制3个步骤,并以百度贴吧自闭症吧为数据来源对分面检索原型予以实现。结果/结论]所构建的自闭症分面检索原型系统应用效果较好,提高了用户检索的效率与质量。提出的分面检索模型对完善健康信息服务等相关理论和方法具有一定推动作用。

关 键 词:知识图谱  分面检索  在线医疗社区  慢性病

Study on Faceted Retrieval of Chronic Diseases Online Medical Community Based on Medical Knowledge Graph
Abstract:Purpose/significant]The technology of knowledge graph and faceted retrieval can effectively organize health information,and solve its problems of resources heterogeneity and diversity,semantic ambiguity,and high threshold of professional knowledge.They can reduce the threshold for professional use of medical knowledge,and guide users to obtain resources faster.Method/process] Combining knowledge graph with faceted retrieval,constructed a faceted retrieval model for chronic disease online medical community based on medical knowledge graph,which mainly includes faceted system construction,faceted and focus sorting,and faceted display control,achieved a prototype of faceted retrieval that data sources comes from the ZiBiZhengBa of Baidu Tieba.Result/conclusion] The constructed faceted retrieval prototype of autism has a better effect and improves the efficiency and quality of user retrieval.This model can promote the development of relevant theories and methods for improving health information services.
Keywords:knowledge graph  faceted retrieval  online medical community  chronic diseases
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