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Knowledge modeling and acquisition of traditional Chinese herbal drugs and formulae from text
Cao, CG; Wang, HT; Sui, YF
2004-09-01
发表期刊ARTIFICIAL INTELLIGENCE IN MEDICINE
ISSN0933-3657
卷号32期号:1页码:3-13
摘要Traditional Chinese medicine has developed over more than 4000 years. A tremendous amount of medical knowledge has been accumulated, among which herbal drugs and formulae are an important portion. This paper presents an ontology for traditional Chinese drugs and formulae, and an ontology-based system for extracting knowledge of drugs and formulae from semi-structured text. The system consists of two components: an executable knowledge extraction Language (or EKEL) for specifying knowledge-extracting agents, and a support machine for executing EKEL programs. Experiments show that the system is adequate of extracting knowledge of herbal drugs and formulae from semi-structured text. (C) 2004 Elsevier B.V. All rights reserved.
关键词traditional Chinese drug traditional Chinese formula ontology knowledge acquisition
DOI10.1016/j.artmed.2004.01.015
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering ; Medical Informatics
WOS类目Computer Science, Artificial Intelligence ; Engineering, Biomedical ; Medical Informatics
WOS记录号WOS:000224041200002
出版者ELSEVIER SCIENCE BV
引用统计
被引频次:31[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/13803
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Cao, CG
作者单位Chinese Acad Sci, Knowledge Acquisit & Sharing Grp, Key Lab Intelligent Informat Proc, Inst Comp Technol, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Cao, CG,Wang, HT,Sui, YF. Knowledge modeling and acquisition of traditional Chinese herbal drugs and formulae from text[J]. ARTIFICIAL INTELLIGENCE IN MEDICINE,2004,32(1):3-13.
APA Cao, CG,Wang, HT,&Sui, YF.(2004).Knowledge modeling and acquisition of traditional Chinese herbal drugs and formulae from text.ARTIFICIAL INTELLIGENCE IN MEDICINE,32(1),3-13.
MLA Cao, CG,et al."Knowledge modeling and acquisition of traditional Chinese herbal drugs and formulae from text".ARTIFICIAL INTELLIGENCE IN MEDICINE 32.1(2004):3-13.
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