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New Technology of Library and Information Service  2010, Vol. 26 Issue (10): 10-16    DOI: 10.11925/infotech.1003-3513.2010.10.02
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Subject Association Analysis Based on CSSCI_Onto
Wang Hao, Su Xinning
Department of Information Management, Nanjing University, Nanjing 210093, China
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This paper tries to change the traditional analysis mode that using association rule mining to gain the subject relationship based on single standard, and introduces the Ontology mechanism with semantic description capabilities into the knowledge organization of CSSCI academic resource for organizing subject and related concepts by object-oriented approach, so that to establishes CSSCI academic resource networks model based on Ontology. Then subject evaluation method is used to analyze the relationship between subjects annotated in CSSCI_Onto, and knowledge mining technique is also adopted to discover the multi-subject association patterns that users are interested in and implies in original knowledge, by which to obtain analysis conclusion for supporting decision, and to provide factual basis for interdisciplinary cooperation enhancement and cross-disciplinary, frontier-disciplinary emergence and development.

Key wordsCSSCI      Ontology      Subject      association      analysis      Academic      resource      networks      model      Knowledge      organization      Semantic      annotation      Academic      evaluation     
Received: 27 September 2010      Published: 04 January 2011



Cite this article:

Wang Hao, Su Xinning. Subject Association Analysis Based on CSSCI_Onto. New Technology of Library and Information Service, 2010, 26(10): 10-16.

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