Presentation 2010-11-26
Algorithms for Cooperative Extraction of Remarkable Positions and Page Clusters in Topic Transition Processes on the Web
Shoichi NAKAMURA, Tomoyuki IGUCHI, Hiroaki KAMINAGA, Setsuo YOKOYAMA, Youzou MIYADERA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This project has aimed to develop methods for extracting topic transition processes. This paper describes algorithms for cooperatively extracting the positions on which topic changes and Web page clusters in accordance with topics as the promising clues for efficient exploration. Especially, this research targets the Web explorations which cross over the closed web and open web. To develop a support for the target, this paper clarifies the issues and describes our approach. Moreover, features of our algorithms are discussed from the viewpoints in light of the clarified issues based on the results of preliminary experiments.
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Keyword(in English) Topic extraction / topic transition processes / web clustering / closed web / open web / exploring support
Paper # ET2010-62
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Committee ET
Conference Date 2010/11/19(1days)
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Paper Information
Registration To Educational Technology (ET)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Algorithms for Cooperative Extraction of Remarkable Positions and Page Clusters in Topic Transition Processes on the Web
Sub Title (in English)
Keyword(1) Topic extraction
Keyword(2) topic transition processes
Keyword(3) web clustering
Keyword(4) closed web
Keyword(5) open web
Keyword(6) exploring support
1st Author's Name Shoichi NAKAMURA
1st Author's Affiliation Fukushima University()
2nd Author's Name Tomoyuki IGUCHI
2nd Author's Affiliation Fukushima University
3rd Author's Name Hiroaki KAMINAGA
3rd Author's Affiliation Fukushima University
4th Author's Name Setsuo YOKOYAMA
4th Author's Affiliation Tokyo Gakugei University
5th Author's Name Youzou MIYADERA
5th Author's Affiliation Tokyo Gakugei University
Date 2010-11-26
Paper # ET2010-62
Volume (vol) vol.110
Number (no) 312
Page pp.pp.-
#Pages 6
Date of Issue