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基于语义表达的中医药优势病种网络模型的构建
引用本文:张宇,贾李蓉,郭新峰,刘丽红.基于语义表达的中医药优势病种网络模型的构建[J].中华医学图书情报杂志,2021,30(1):25-30.
作者姓名:张宇  贾李蓉  郭新峰  刘丽红
作者单位:中国中医科学院中医药信息研究所,北京 100700;广东省中医院,广东 广州 510120
基金项目:国家重点研发计划资助“中医药优势病种全信息自动获取与理解的关键技术”(2019YFC1709801);中央级公益性科研院所基本科研业务费专项资金“基于本体推理的中西药相互作用自动发现示范研究”(ZZ13-YQ-128)
摘    要:目的:建立基于中医药优势病种文献的语义网络模型。方法:顶层参考中医药学语言系统并结合专家咨询设定模型中的语义类型和语义关系,底层基于获取的中医药优势病种文献全信息结构解析进行语义类型和语义关系补充。结果:构建了基于语义表达的中医药优势病种网络模型。结论:基于语义表达的中医药优势病种网络模型可以支持中医药优势病种文献数据库的构建和中医药优势病种文献的语义检索与利用。

关 键 词:中医药优势病种  语义网络模型  语义类型  语义关系
收稿时间:2020/11/24 0:00:00

Semantic expression-based establishment of network model for dominant diseases in traditional Chinese medicine
ZHANG Yu,JIA Li-rong,GUO Xin-feng,LIU Li-hong.Semantic expression-based establishment of network model for dominant diseases in traditional Chinese medicine[J].Chinese Journal of Medical Library and Information Science,2021,30(1):25-30.
Authors:ZHANG Yu  JIA Li-rong  GUO Xin-feng  LIU Li-hong
Institution:Information Institute of Traditional Chinese Medicine, Chinese Academy of Traditional Chinese Medicine, Beijing 100700, China;Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, Guangdong Province, China; 1.Information Institute of Traditional Chinese Medicine, Chinese Academy of Traditional Chinese Medicine, Beijing 100700, China; 2.Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, Guangdong Province, China
Abstract:Objective To establish the semantic network model of literature on dominant diseases in traditional Chinese medicine. Methods The semantic type and semantic relationship in the top level of the model were designed by referring to the language system for traditional Chinese medicine, the semantic type and semantic relationship in the bottom level of the model were complemented by analyzing the accessed whole information structure of literature on dominant diseases in traditional Chinese medicine. Results The semantic expression-based network model of dominant diseases in traditional Chinese medicine was established. Conclusion The semantic expression-based semantic network model of dominant diseases in traditional Chinese medicine can support the development of database of literature on dominant diseases in traditional Chinese medicine, semantic retrieval and use of literature on dominant diseases in traditional Chinese medicine.
Keywords:Dominant diseases in traditional Chinese medicine  Semantic network model  Semantic type  Semantic relationship
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