Knowledge modeling and acquisition of traditional Chinese herbal drugs and formulae from text
文献类型:期刊论文
作者 | Cao, CG; Wang, HT; Sui, YF |
刊名 | ARTIFICIAL INTELLIGENCE IN MEDICINE
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出版日期 | 2004-09-01 |
卷号 | 32期号:1页码:3-13 |
关键词 | traditional Chinese drug traditional Chinese formula ontology knowledge acquisition |
ISSN号 | 0933-3657 |
DOI | 10.1016/j.artmed.2004.01.015 |
英文摘要 | 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. |
WOS研究方向 | Computer Science ; Engineering ; Medical Informatics |
语种 | 英语 |
WOS记录号 | WOS:000224041200002 |
出版者 | ELSEVIER SCIENCE BV |
源URL | [http://119.78.100.204/handle/2XEOYT63/13802] ![]() |
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. |
入库方式: OAI收割
来源:计算技术研究所
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