RAST: A Related Abstract Search Tool

  • Authors:
  • Shiro Usui;Nilton L. Kamiji;Tatsuki Taniguchi;Naonori Ueda

  • Affiliations:
  • Laboratory for Neuroinformatics, RIKEN Brain Science Institute, and Neuroinformatics Japan Center, Saitama, Japan 351-0198;Laboratory for Neuroinformatics, RIKEN Brain Science Institute,;IVIS Inc., Tokyo, Japan;NTT CS-Labs., Kyoto, Japan

  • Venue:
  • ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
  • Year:
  • 2009

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Abstract

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 information on the similarity between all abstracts on a list, providing users with more information to take into account to support finding relevant abstracts. It also suggests possible keywords to help refine their search, and an interface for storing and sorting selected abstracts for future review and/or printing.