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Information Retrieval by Possibilistic Reasoning

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Database and Expert Systems Applications (DEXA 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2113))

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Abstract

In this paper, we apply possibilistic reasoning to information retrieval for documents endowed with similarity relations. On the one hand, it is used together with Boolean models for accommodating possibilistic uncertainty. The logical uncertainty principle is then interpreted in the possibilistic framework. On the other hand, possibilistic reasoning is integrated into description logic and applied to some information retrieval problems, such as query relaxation, query restriction, and exemplar-based retrieval.

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Author information

Authors and Affiliations

  1. Institute of Information Science, Academia Sinica, Taipei, Taiwan

    Churn-Jung Liau

  2. Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada, S4S 0A2

    Y. Y. Yao

Authors
  1. Churn-Jung Liau
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  2. Y. Y. Yao
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Editor information

Editors and Affiliations

  1. University of Klagenfurt, IFI -IWAS Universitaetsstr. 65, 9020, Klagenfurt, Austria

    Heinrich C. Mayr

  2. Faculty of Electrical Engineering, Czech Technical University, Technicka 2, 166 27, Prague 6, Czech Republic

    Jiri Lazansky

  3. School of Computer and Information Science, University of South Australia, Mawson Lakes Campus, Mawson Lakes, SA, 5095

    Gerald Quirchmayr

  4. Department of Information Systems, Technical University of Munich, Orleanstr. 34, 81667, Munich, Germany

    Pavel Vogel

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© 2001 Springer-Verlag Berlin Heidelberg

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Liau, CJ., Yao, Y.Y. (2001). Information Retrieval by Possibilistic Reasoning. In: Mayr, H.C., Lazansky, J., Quirchmayr, G., Vogel, P. (eds) Database and Expert Systems Applications. DEXA 2001. Lecture Notes in Computer Science, vol 2113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44759-8_7

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  • DOI: https://doi.org/10.1007/3-540-44759-8_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42527-4

  • Online ISBN: 978-3-540-44759-7

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