Application Research of Knowledge Mapping in TCM Health

Weixue Hao
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Abstract

Objective: In the field of Web search and general field, a large number of large-scale knowledge map libraries have been formed, but theconstruction of knowledge maps in the fields of medicine and traditional Chinese medicine is still in its infancy, although there are large-scalemedical ontology libraries. However, there are still few studies on the construction of specialized medicine, especially the TCM knowledgemap library, which greatly hinders the information application and sharing of TCM concept knowledge.Methods: For the map construction of the main conceptual entities such as symptoms, syndromes, diseases and traditional Chinese medicinein the field of traditional Chinese medicine, the corresponding schema pattern (Schema) was designed to determine the basic categories,category attributes and semantic relations of the map. The Protege Ontology Editor adds constraints to the entities in the TCM knowledgemap and their relationships, and uses Protege to graphically display some of the knowledge in the knowledge map. Finally, based on theformed knowledge map, the open-source toolkit Jena and the inference rules based on the logic of TCM diagnosis and treatment are used tocarry out the model analysis and application of knowledge reasoning based on knowledge map.Conclusion: Knowledge graph is carried out in the era of big data. The important data resources of knowledge management and applicationhave become the key technical basis for search engine semantic retrieval and knowledge-based reasoning and decision-making in variousfields. By integrating various data sources, this paper studies the construction of TCM health knowledge maps with symptoms, syndromes,diseases and medicines as the main entities. The analysis results show that it has certain feasibility and application value.
知识图谱在中医健康中的应用研究
目的:在Web搜索领域和通用领域,已经形成了大量的大型知识地图库,但医学和中医领域的知识地图建设仍处于起步阶段,虽然有大规模的医学本体库。然而,关于专科医学特别是中医知识图谱库建设的研究仍然很少,这极大地阻碍了中医概念知识的信息应用和共享。方法:针对中医领域中症状、证候、疾病、中医等主要概念实体的图谱构建,设计相应的图式模式(schema),确定图谱的基本类别、类别属性和语义关系。Protege本体编辑器为TCM知识图谱中的实体及其关系添加约束,并使用Protege以图形方式显示知识图谱中的一些知识。最后,在形成知识图谱的基础上,利用开源工具箱Jena和基于中医诊疗逻辑的推理规则,进行基于知识图谱的知识推理的模型分析和应用。结论:知识图谱是在大数据时代开展的。知识管理和应用的重要数据资源已成为搜索引擎语义检索和各个领域基于知识的推理决策的关键技术基础。本文通过整合各种数据源,研究了以症状、证候、疾病、药物为主体的中医健康知识图谱的构建。分析结果表明,该方法具有一定的可行性和应用价值。
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