Fuzzy Information Retrieval Indexed by Concept Identification

  • Bo-Yeong Kang
  • Dae-Won Kim
  • Hae-Jung Kim
Conference paper

DOI: 10.1007/11551874_23

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3658)
Cite this paper as:
Kang BY., Kim DW., Kim HJ. (2005) Fuzzy Information Retrieval Indexed by Concept Identification. In: Matoušek V., Mautner P., Pavelka T. (eds) Text, Speech and Dialogue. TSD 2005. Lecture Notes in Computer Science, vol 3658. Springer, Berlin, Heidelberg

Abstract

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.

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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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