Presentation 2010-03-09
Related Abstract Search Tool : RAST
Nilton Liuji KAMIJI, Tatsuki TANIGUCHI, Naonori UEDA, Shiro USUI,
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Abstract(in English) With the increasing amount of information available in recent years, searching for the desired content is becoming a challenging task. In this work, a tool for searching abstracts submitted to scientific conferences is introduced. It not only search abstracts by the given keyword(s), but also displays abstracts related to a single or multiple selection. It also displays highly relevant abstracts together with possible keywords to help users refine their search. Analysis of the conditional similarity algorithm proposed here have shown that it does provide better output compared to ordinary cosine similarity, as well as the list of possible keywords reflects results of latent topic analysis. An interface for storing and sorting selected abstracts for future review and/or printing is also provided.
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Keyword(in English) text data mining / neuroinformatics / search tool / similarity
Paper # NC2009-91
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Committee NC
Conference Date 2010/3/2(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Related Abstract Search Tool : RAST
Sub Title (in English)
Keyword(1) text data mining
Keyword(2) neuroinformatics
Keyword(3) search tool
Keyword(4) similarity
1st Author's Name Nilton Liuji KAMIJI
1st Author's Affiliation RIKEN Brain Science histitute()
2nd Author's Name Tatsuki TANIGUCHI
2nd Author's Affiliation IVIS Inc.
3rd Author's Name Naonori UEDA
3rd Author's Affiliation NTT Communication Science Laboratories
4th Author's Name Shiro USUI
4th Author's Affiliation RIKEN Brain Science histitute
Date 2010-03-09
Paper # NC2009-91
Volume (vol) vol.109
Number (no) 461
Page pp.pp.-
#Pages 6
Date of Issue