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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Web structural mining / Information retrieval / Social network |
Paper # | AI2007-51 |
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Committee | AI |
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Conference Date | 2008/2/27(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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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 |