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
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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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