期刊文献+

基于本体的中医舌诊知识的获取 被引量:17

Knowledge Acquisition of Tongue Diagnosis: An Ontology-based Approach
下载PDF
导出
摘要 中医舌诊知识是中医学的一个重要组成部分,它可以为计算机自动诊断、中医智能教学、中医自然语言理解提供知识基础。介绍了中医舌诊本体,建立了九个中医舌诊本体类和一些相关的本体类,同时也获取了舌诊知识的一些公理。 Tongue diagnosis is a profound and special part of the whole traditional Chinese medicine, and knowledge of tongue diagnosis is the basis for many computer applications such as automated diagnosis and therapy, medical instruction and training, and natural language processing. This paper introduces a domain-specific ontology of tongue diagnosis, it has been built 9 categories about TCM tongue diagnosis and other relevant categories.
出处 《计算机应用研究》 CSCD 北大核心 2006年第3期31-34,共4页 Application Research of Computers
基金 国家自然科学基金资助项目(60273019) 国家科技部重大基础研究专项联合资助项目(2001CCA03000) 首都师范大学实验室开放资金资助项目
关键词 中医舌诊知识 知识获取 本体 Traditional Chinese Medicine Tongue Diagnosis Knowledge Acquisition Ontology
  • 相关文献

参考文献13

  • 1Natalya F Noy,Mark A Musen.SMART:Automated Support for Ontology Merging and Alignment[C].Banff,Canada:Proceedings of the 12th Workshop on Knowledge Acquisition,Modeling and Management,1999.
  • 2Y Sure,S Staab,J Angele,et al.OntoEdit:Guiding Ontology Deve-lopment by Methodology and Inferencing[C].Lyon,France:Prestigious,Applications of Intelligence System(PAIS),2002.
  • 3陆汝钤.世纪之交的知识工程与知识科学[M].北京:清华大学出版社,2001..
  • 4Cungen Cao.Extracting and Sharing Medical Knowledge[J].Journal of Computer Science & Technology,2002,17(3).
  • 5辛瑛.舌诊[M].天津:天津科技出版社,2001.56.
  • 6张德海 曹存根 张宇翔.国家和城市知识获取与本体论分析[C].中国人工智能学会,..
  • 7唐素勤 曹存根.智能教学系统:综述与改进[A]..中国人工智能学会第九届全国学术年会暨中国人工智能学会成立20周年庆祝大会[C].,2001.1129~1132.
  • 8.《中国大百科全书》之中医卷[M].北京:中国大百科全书出版社,..
  • 9Cao Cungen,Feng Qiangze,Gao Ying,et al.Progress in the Deve-lopment of National Knowledge Infrastructure[J].Journal of Computer Science & Technology,2002,17:523-534.
  • 10Cungen Cao.Technology Focus of 21st Century[N].Computer World,1998(D1-D3).

二级参考文献33

  • 1Guha R V, Lenat D B. Cyc: A midterm report. AI Magazine, 1990, 11(3): 32-59.
  • 2Guha R V. Contexts: A formalization and some applications. Tech. ACT-CYC-423-91, MCC, Austin, Texas, 1991.
  • 3Lenat D B. Cyc: A large-scale investment in knowledge infrastructure. Communications of the ACM, 1995, 38(11):33-38.
  • 4Lenat D B, Guha R V. Building Large Knowledge-Based Systems. Addison-Wesley, MA, 1990.
  • 5Lenat D B,Miller G A, Yokoi T.-CYC, WordNet and EDR - critiques and responses - discussion. Communications of the ACM, 1995, 38(11): 45-48.
  • 6Clark P, Porter B. Building domain representations from components. AI96-241, University of Texas at Austin,1996.
  • 7Clark P, Porter B. Building concept representation from reusable components. In Proceedigs of 1997 AAAI, AAAI Press, 1997, pp.369-376.
  • 8Richardson S. Determining similarity and inferring relations in a lexical knowledge base [Dissertation]. City University of New York, 1997.
  • 9Richardson S, Dolan W B, Vanderwende L. MindNet: Acquiring and structuring semantic information from text.In Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, ACL, 1998, CONF 17, Vol.2, pp.1098-1102.
  • 10Chaudhri V K, Farquhar A et al. The generic frame protocol 2.0. SRI International Technical Report,1997.

共引文献70

同被引文献170

引证文献17

二级引证文献110

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部