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Acquisition of Know-How Information from Web

  • Shunsuke Kozawa
  • Kiyotaka Uchimoto
  • Shigeki Matsubara
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7097)

Abstract

A variety of know-how such as recipes and solutions for troubles have been stored on the Web. However, it is not so easy to appropriately find certain know-how information. If know-how could be appropriately detected, it would be much easier for us to know how to tackle unforeseen situations such as accidents and disasters. This paper proposes a promising method for acquiring know-how information from the Web. First, we extract passages containing at least one target object and then extract candidates for know-how from them. Then, passages containing the know-how are discriminated from non-know-how information considering each object and its typical usage.

Keywords

know-how how-to type question answering object usage information procedural question 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Shunsuke Kozawa
    • 1
  • Kiyotaka Uchimoto
    • 2
  • Shigeki Matsubara
    • 1
  1. 1.Nagoya UniversityNagoyaJapan
  2. 2.National Institute of Information and Communications TechnologyKyotoJapan

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