【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。更多还原

【Abstract】 [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.更多还原