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Semantic Link Network Builder and Intelligent Semantic Browser

文献类型：期刊论文

作者Zhuge, H; Jia, R; Liu, J
刊名CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
出版日期2004-12-10
卷号16期号:14页码:1453-1476
关键词algorithm browser matching reasoning semantic link Semantic Web
ISSN号1532-0626
DOI10.1002/cpe.870
英文摘要Semantic Link Network (SLN) is a semantic Web model using semantic links-the natural extension of the hyperlink-based Web. The SLN-Builder is a software tool that enables definition, modification and verification of, as well as access to the SLN. The SLN-Builder can convert a SLN definition into XML descriptions for cross-platform information exchange. The Intelligent Semantic Browser is used to visualize the SLN and carry out two types of reasoning in browsing time: small granularity reasoning by chaining semantic links and large granularity reasoning by matching semantic views of SLN. With the help of the reasoning mechanism, the browser can recommend the content that is semantically relevant to the current browsing content, and it enables users to foresee the end-side content of a semantic link chain. This paper presents the design and implementation of the SLN-Builder and the intelligent semantic browser as well as key algorithms. Copyright (C) 2004 John Wiley Sons, Ltd.
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000225319700004
出版者JOHN WILEY & SONS LTD
源URL[http://119.78.100.204/handle/2XEOYT63/13904]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhuge, H
作者单位Chinese Acad Sci, Grad Sch, Inst Comp Technol, Key Lab Intelligent Informat Proc,China Knowledge, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Zhuge, H,Jia, R,Liu, J. Semantic Link Network Builder and Intelligent Semantic Browser[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2004,16(14):1453-1476.
APA Zhuge, H,Jia, R,&Liu, J.(2004).Semantic Link Network Builder and Intelligent Semantic Browser.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,16(14),1453-1476.
MLA Zhuge, H,et al."Semantic Link Network Builder and Intelligent Semantic Browser".CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 16.14(2004):1453-1476.

入库方式： OAI收割

来源：计算技术研究所

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