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	Exploiting Corpus-Related Ontologies for Conceptualizing Document Corpora
	Zheng, Hai-Tao ; Borchert, Charles ; Kim, Hong-Gee
	2010-10-12 ; 2010-10-12
关键词	KEYWORD EXTRACTION VISUALIZATION COLLECTION MANAGEMENT TOOL Computer Science, Information Systems Information Science & Library Science
中文摘要	As a greater volume of information becomes increasingly available across all disciplines, many approaches, such as document clustering and information visualization, have been proposed to help users manage information easily. However, most of these methods do not directly extract key concepts and their semantic relationships from document corpora, which could help better illuminate the conceptual structures within given information. To address this issue, we propose an approach called "Clonto" to process a document corpus, identify the key concepts, and automatically generate ontologies based on these concepts for the purpose of conceptualization. For a given document corpus, Clonto applies latent semantic analysis to identify key concepts, allocates documents based on these concepts, and utilizes WordNet to automatically generate a corpus-related ontology. The documents are linked to the ontology through the key concepts. Based on two test collections, the experimental results show that Clonto is able to identify key concepts, and outperforms four other clustering algorithms. Moreover, the ontologies generated by Clonto show significant informative conceptual structures.
语种	英语 ; 英语
出版者	JOHN WILEY & SONS INC ; HOBOKEN ; 111 RIVER ST, HOBOKEN, NJ 07030 USA
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/81745]
专题	清华大学
推荐引用方式 GB/T 7714	Zheng, Hai-Tao,Borchert, Charles,Kim, Hong-Gee. Exploiting Corpus-Related Ontologies for Conceptualizing Document Corpora[J],2010, 2010.
APA	Zheng, Hai-Tao,Borchert, Charles,&Kim, Hong-Gee.(2010).Exploiting Corpus-Related Ontologies for Conceptualizing Document Corpora..
MLA	Zheng, Hai-Tao,et al."Exploiting Corpus-Related Ontologies for Conceptualizing Document Corpora".(2010).

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