Presentation 2002/7/11
A Web Page Clustering Method Based on Page Aspects and its Application
Ryo ARAKI, Shinsuke NAKAJIMA, Kazutoshi SUMIYA, Katsumi TANAKA,
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Abstract(in English) There are various kinds of search engines like "Google" or "Yahoo!". They have different methods, respectively. However, these search engines can't search information based on the semantic diversity of web pages. For example, pages about "Shigeo Nagashima as a baseball player" is less necessary to search pages about "Shigeo Nagashima as a much-loved entertainer". Therefore, in this paper, we define an aspect of web pages, and propose information retrieval method based on the page relation.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Information retrieval / Aspects / Clustering
Paper # DE2002-50
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Committee DE
Conference Date 2002/7/11(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Web Page Clustering Method Based on Page Aspects and its Application
Sub Title (in English)
Keyword(1) Information retrieval
Keyword(2) Aspects
Keyword(3) Clustering
1st Author's Name Ryo ARAKI
1st Author's Affiliation Department of Computer and Systems Engineering, Graduate School of Science and Technology, Kobe University()
2nd Author's Name Shinsuke NAKAJIMA
2nd Author's Affiliation Department of Social Informatics, Graduate School of Infomatics, Kyoto University
3rd Author's Name Kazutoshi SUMIYA
3rd Author's Affiliation Department of Social Informatics, Graduate School of Infomatics, Kyoto University
4th Author's Name Katsumi TANAKA
4th Author's Affiliation Department of Social Informatics, Graduate School of Infomatics, Kyoto University
Date 2002/7/11
Paper # DE2002-50
Volume (vol) vol.102
Number (no) 208
Page pp.pp.-
#Pages 6
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