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Fuzzy Information Retrieval Indexed by Concept Identification

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Text, Speech and Dialogue (TSD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3658))

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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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Author information

Authors and Affiliations

  1. Information and Communications University, Munji-dong, Yuseong-gu, Daejeon, Korea

    Bo-Yeong Kang, Dae-Won Kim & Hae-Jung Kim

Authors
  1. Bo-Yeong Kang
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  2. Dae-Won Kim
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  3. Hae-Jung Kim
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of West Bohemia in Pilsen, Univerzitni 8, 30614, Plzen, Czech Republic

    Václav Matoušek , Pavel Mautner  & Tomáš Pavelka ,  & 

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© 2005 Springer-Verlag Berlin Heidelberg

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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. https://doi.org/10.1007/11551874_23

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  • DOI: https://doi.org/10.1007/11551874_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28789-6

  • Online ISBN: 978-3-540-31817-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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