摘要
目的构建国医大师周仲瑛辨治肺癌的中医药本体,实现中医药肺癌领域知识的共享和推理。方法以国医大师周仲瑛教授辨治肺癌门诊医案为知识源,采用protégé5.5.0工具,以OWL为本体的描述语言,借鉴“七步法”构建国医大师周仲瑛教授辨治肺癌领域本体,实现肺癌中医诊疗知识表示和领域建模。结果肺癌中医药本体较为全面展示周仲瑛教授病机辨证知识体系,共有类74个,实例206个,对象属性8个,数据属性5个,为从概念层次上掌握周仲瑛教授病机辨治肺癌知识体系奠定基础。结论本体的构建对肺癌的中医诊疗经验的知识表示、知识共享、未来知识库及知识图谱建设具有一定的参考与应用价值。
Objective To construct the ontology of traditional Chinese medicine for the diagnosis and treatment of lung cancer by Zhou Zhongying, a master of traditional Chinese medicine, and realize the sharing and reasoning of knowledge in the field of traditional Chinese medicine for lung cancer.Methods Taking TCM master Professor Zhou Zhongying’s diagnosis and treatment of lung cancer outpatient medical records as the knowledge source, using protégé 5.5.0 tools,OWL as the ontology description language, and drawing on the "seven-step method" to construct the TCM master Professor Zhou Zhongying’s lung cancer field ontology was constructed, and the diagnosis and treatment of lung cancer in traditional Chinese medicine knowledge representation and domain modeling was realized.Results The ontology of traditional Chinese medicine for lung cancer was completed, which organized and represented knowledge about lung cancer, including 74 classes, 206 instances,8 object properties and 5 data properties, laying the foundation for grasping the knowledge system of Professor Zhou Zhongying’s pathogenesis, differentiation and treatment of lung cancer from the conceptual level.Conclusion The construction of ontology has certain reference and application value for knowledge representation, knowledge sharing, the construction of knowledge base and knowledge map of lung cancer diagnosis and treatment experience of traditional Chinese medicine.
作者
王松
李正钧
杨涛
叶放
李柳
胡晨骏
胡孔法
Wang Song;Li Zhengjun;Yang Tao;Ye Fang;Li Liu;Hu Chenjun;Hu Kongfa(School of Artificial Intelligence and Information Technology,Nanjing University of Chinese Medicine,Nanjing 210023,China;Institute of Literature in Chinese Medicine,Nanjing University of Chinese Medicine,Nanjing 210023,China;Inheritance Studio of TCM Master Zhou Zhongying,Nanjing University of Chinese Medicine,Nanjing 210023,China;Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor,Nanjing 210023,China)
出处
《世界科学技术-中医药现代化》
CSCD
北大核心
2022年第2期495-501,共7页
Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology
基金
国家自然科学基金委员会面上基金项目(82074580):基于知识图谱的现代名老中医诊治肺癌用药规律及其机制研究,负责人:胡孔法
江苏省科学技术厅江苏省社会发展重点研发计划(BE2019723):基于智能技术支持的国医大师周仲瑛辨治重大疾病经验学习决策支持系统的构建及应用,负责人:叶放。
关键词
中医药
肺癌
本体
知识表示
Traditional Chinese medicine
Lung cancer
Ontology
Knowledge representation
