Presentation 2008-03-06
Web Page Classification Based on Structural Equivalence
Nagayoshi YAMASHITA, Koichi MORIYAMA, Satoshi KURIHARA, Masayuki NUMAO,
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Abstract(in English) Due to difficulty finding necessary information from the Web, we propose a novel methodology for classifying Web pages using link analysis based on structural equivalence. Two nodes are structurally equivalent if these nodes have the same relationship with other nodes. In this paper, assuming that pages with similar link relationship among the other pages are also similar in contents, Web pages are classified and then related parts are specified by defining the hub page. A preliminary experiment shows classification based on the structural similarity of web pages is effective.
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Keyword(in English) Web structural mining / Information retrieval / Social network
Paper # AI2007-51
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Committee AI
Conference Date 2008/2/27(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Web Page Classification Based on Structural Equivalence
Sub Title (in English)
Keyword(1) Web structural mining
Keyword(2) Information retrieval
Keyword(3) Social network
1st Author's Name Nagayoshi YAMASHITA
1st Author's Affiliation Department of Information and Physical Sciences, Graduate School of Information Science and Technology, Osaka University()
2nd Author's Name Koichi MORIYAMA
2nd Author's Affiliation The Institute of Scientific and Industrial Research, Osaka University
3rd Author's Name Satoshi KURIHARA
3rd Author's Affiliation The Institute of Scientific and Industrial Research, Osaka University
4th Author's Name Masayuki NUMAO
4th Author's Affiliation The Institute of Scientific and Industrial Research, Osaka University
Date 2008-03-06
Paper # AI2007-51
Volume (vol) vol.107
Number (no) 523
Page pp.pp.-
#Pages 6
Date of Issue