| 引用本文:张雨琪，李宗友，王映辉，李敬华，于琦，朱玲，姜威，于彤.中医药知识图谱的构建与应用研究[J].世界中医药,2022,(04):. |
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| 中医药知识图谱的构建与应用研究 |
| Research Progress on the Construction and Applications of Traditional Chinese Medicine Knowledge Graphs |
| 投稿时间：2020-08-27 |
| DOI：10.3969/j.issn.1673-7202.2022.04.020 |
| 中文关键词: 中医药 知识图谱 知识表示 知识抽取 知识融合 语义理解 知识服务 质量评估 |
| English Keywords:Traditional Chinese medicine Knowledge graph Knowledge representation Knowledge extraction Knowledge fusion Semantic understanding Knowledge service Quality evaluation |
| 基金项目:国家重点研发计划“云计算和大数据”重点专项(2017YFB1002300)——大数据驱动的中医智能辅助诊断服务系统;中国工程科技知识中心项目(CKCEST-2020-1-18)——中医学专业知识服务系统;中国中医科学院中医药“一带一路”合作专项(GH2017-08)——国际中医药临床知识服务平台构建研究;中国中医科学院基本科研业务费自主选题项目(ZZ11-053)——基于深度学习的中成药知识图谱构建与辅助决策研究 |
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| 中文摘要: |
| 中医药知识记录分散、隐性知识众多,又富含关系知识,因此在关联、表达、利用知识上具有优势的知识图谱能够为领域提供有益辅助。系统梳理中医药领域知识图谱的构建及其应用的研究工作,可见基于中医药知识图谱的应用正在不断发展,将知识图谱构建技术运用于中医药知识图谱中时则需虑及领域特点。根据领域知识特点与实践需求,一些研究设计了知识框架,选择了合适的知识抽取、融合和存储技术,尝试了知识补全,构建中医药知识图谱并实现信息理解、搜索、推荐、自动问答以及辅助决策等应用。不过,在丰富关系种类、理论知识与多模态知识,拓展知识来源,完善质量评估与控制,加强子领域知识图谱的构建以及共享与协作等方面,还需许多努力。 |
| English Summary: |
| Traditional Chinese medicine(TCM) knowledge is scattered in records,and has plenty of tacit knowledge.It's also rich in relationships.So,Knowledge Graphs(KG),which possess the advantage of the linking,representation,and usage of knowledge,can provide beneficial assistant in the field.A systematic review of the research work on the construction and application of knowledge graphs in the field of TCM shows that applications based on knowledge graphs of TCM are constantly developing.When applying knowledge graph construction techniques to the knowledge graphs of TCM,it is necessary to consider the characteristics of the field.According to the characteristics of domain knowledge and practical requirements,some studies have designed a knowledge framework,selected appropriate knowledge extraction,fusion and storage technologies,tried knowledge completion,constructed a knowledge map of TCM and realized information understanding,search,recommendation,automatic question and answer,and assisted decision-making and other applications.However,much effort is needed to enrich relationship types,theoretical knowledge and multi-modal knowledge,expand knowledge sources,improve quality assessment and control,and strengthen the construction of sub-domain knowledge graphs and sharing and collaboration. |
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