中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Progress in the development of national knowledge infrastructure

文献类型:期刊论文

作者Cao, CG; Feng, QZ; Gao, Y; Gu, F; Si, JX; Sui, YF; Tian, W; Wang, HT; Wang, LL; Zeng, QT
刊名JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
出版日期2002-09-01
卷号17期号:5页码:523-534
关键词national knowledge infrastructure knowledge acquisition domain-specific ontology human-knowledge interface knowledge application programming interface
ISSN号1000-9000
英文摘要This paper presents the recent process in a long-term research project, called National Knowledge Infrastructure (or NKI). Initiated in the early 2000, the project aims to develop a multi-domain shareable knowledge base for knowledge-intensive applications. To develop NKI, we have used domain-specific ontologies as a solid basis, and have built more than 600 ontologies. Using these ontologies and our knowledge acquisition methods, we have extracted about 1.1 millions of domain assertions. For users to access our NKI knowledge, we have developed a uniform multi-modal human-knowledge interface. We have also implemented a knowledge application programming interface for various applications to share the NKI knowledge.
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000178233400002
出版者SCIENCE CHINA PRESS
源URL[http://119.78.100.204/handle/2XEOYT63/13511]  
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, Inst Comp Technol, Key Lab Intelligent Informat Proc, Knowledge Acquisit & Sharing Grp, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Cao, CG,Feng, QZ,Gao, Y,et al. Progress in the development of national knowledge infrastructure[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2002,17(5):523-534.
APA Cao, CG.,Feng, QZ.,Gao, Y.,Gu, F.,Si, JX.,...&Zhou, XB.(2002).Progress in the development of national knowledge infrastructure.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,17(5),523-534.
MLA Cao, CG,et al."Progress in the development of national knowledge infrastructure".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 17.5(2002):523-534.

入库方式: OAI收割

来源:计算技术研究所

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