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Automatically constructing semantic link network on documents

文献类型：期刊论文

作者Hai Zhuge1,2; Zhang, Junsheng1
刊名CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
出版日期2011-06-01
卷号23期号:9页码:956-971
关键词semantic link network probability rules relational reasoning inference
ISSN号1532-0626
DOI10.1002/cpe.1624
英文摘要Knowing semantic links among resources is the basis of realizing machine intelligence over large-scale resources. Discovering semantic links among resources with limited human interference is a challenge issue. This paper proposes an approach to automatically discovering and predicting semantic links in a document set based on a model of document semantic link network (SLN). The approach has the following advantages: it supports probabilistic relational reasoning; SLNs and the relevant rules automatically evolve; and, it can adapt to the update of the adopted techniques. The approach can support cyber space applications, such as documentation recommendation and relational queries, on large documents. Copyright (C) 2010 John Wiley & Sons, Ltd.
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000291050800007
出版者WILEY-BLACKWELL
源URL[http://119.78.100.204/handle/2XEOYT63/12653]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Hai Zhuge
作者单位1.Chinese Acad Sci, Knowledge Grid Res Grp, Key Lab Intelligent Informat Proc, Inst Comp Technol, Beijing 100190, Peoples R China
2.Southwest Univ, Chongqing, Peoples R China
推荐引用方式
GB/T 7714		 Hai Zhuge,Zhang, Junsheng. Automatically constructing semantic link network on documents[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2011,23(9):956-971.
APA Hai Zhuge,&Zhang, Junsheng.(2011).Automatically constructing semantic link network on documents.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,23(9),956-971.
MLA Hai Zhuge,et al."Automatically constructing semantic link network on documents".CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 23.9(2011):956-971.

入库方式： OAI收割

来源：计算技术研究所

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