基于在线问诊记录的医疗疼痛感知知识图谱构建及查询应用  

Construction and Query Application of Medical Pain Perception Knowledge Graph Based on Online Reviews

作　　者：王世钰 崔超宁 由丽萍[1] WANG Shiyu;CUI Chaoning;YOU Liping(College of Economics and Management,Shanxi University,Taiyuan 030006,China)

机构地区：[1]山西大学经济与管理学院,太原030006

出　　处：《情报工程》2022年第5期65-73,共9页Technology Intelligence Engineering

基　　金：国家自然科学基金面上项目“面向汉语篇章语义分析的框架推理技术研究”(61772324)。

摘　　要：[目的/意义]基于医疗领域疼痛感知信息分析构建知识图谱,为智能医疗服务优化提供参考。[方法/过程]基于概念结构解析构建疼痛感知信息分类体系,基于本体和语义学理论构建疼痛感知知识图谱;应用Fuseki可视化工具和SPARQL查询语言,将知识图谱应用于推理式语义查询。[结果/结论]通过在线问诊记录验证,证明了知识图谱查询的有效性和全面性,是知识图谱在医疗健康领域的一次有益探索。[Objective/Signifcance]Based on the analysis of pain perception information in the medical feld,a knowledge graph is constructed to provide a reference for the optimization of intelligent medical services.[Methods/Processes]In this study,we construct a pain perception information classifcation system model based on conceptual structure analysis,and a pain perception knowledge graph based on ontology and semantic theory,using visualization tool Fuseki and query language SPARQL to apply the knowledge graph to reasoning semantics inquire.[Results/Conclusions]Verifcation of online medical Consultation records proves the effectiveness and comprehensiveness of knowledge map query,which is a useful exploration of knowledge map in the feld of medical and health.

关 键 词：知识图谱 疼痛感知信息 本体 

分 类 号：G35[文化科学—情报学]