Fuzzy Information Retrieval Indexed by Concept Identification

  • Bo-Yeong Kang
  • Dae-Won Kim
  • Hae-Jung Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3658)


To retrieve relevant information, indexing should be achieved using the concepts of the document that a writer intends to highlight. Moreover, the user involvement is increasingly required to extract relevant information from information sources. Therefore, in the present work we propose a fuzzy retrieval model indexed by concept identification: (1) a concept identification based indexing and (2) a novel fuzzy ranking model. The concept based indexing identifies index terms by considering the concepts of a document, and a novel fuzzy ranking model based on the user preference is presented, which is able to calculates the relevance ranking based on the user preference.


User Preference Average Precision Membership Degree Ranking Model Index Term 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Bo-Yeong Kang
    • 1
  • Dae-Won Kim
    • 1
  • Hae-Jung Kim
    • 1
  1. 1.Information and Communications UniversityDaejeonKorea

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