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Trimming Plethoric Answers to Fuzzy Queries: An Approach Based on Predicate Correlation

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Computational Intelligence for Knowledge-Based Systems Design (IPMU 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6178))

Abstract

Retrieving data from large-scale databases often leads to plethoric answers. To overcome this problem, we propose an approach which selects a set of predicates that the user may use for intensifying his/her query. These predicates are selected among predefined ones according principally to their degree of semantic correlation with the initial query in order to avoid a deep modification of its semantic scope.

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Author information

Authors and Affiliations

  1. Irisa ENSSAT, Univ. Rennes 1, Lannion, France

    Patrick Bosc, Allel Hadjali & Olivier Pivert

  2. Irisa IUT Lannion, Univ. Rennes 1, Lannion, France

    Grégory Smits

Authors
  1. Patrick Bosc
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  2. Allel Hadjali
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  3. Olivier Pivert
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  4. Grégory Smits
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Editor information

Editors and Affiliations

  1. Fachbereich Mathematik und Informatik, Philipps-Universität Marburg, Hans-Meerwein-Str., 35032, Marburg, Germany

    Eyke Hüllermeier

  2. Fakultät Informatik, Otto-von-Guericke-Universität Magdeburg, Universitätsplatz 2, 39106, Magdeburg, Germany

    Rudolf Kruse

  3. Fakultät für Elektrotechnik und Informationstechnik, Technische Universität Dortmund, Otto-Hahn-Str. 4, 44227, Dortmund, Germany

    Frank Hoffmann

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© 2010 Springer-Verlag Berlin Heidelberg

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Bosc, P., Hadjali, A., Pivert, O., Smits, G. (2010). Trimming Plethoric Answers to Fuzzy Queries: An Approach Based on Predicate Correlation. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds) Computational Intelligence for Knowledge-Based Systems Design. IPMU 2010. Lecture Notes in Computer Science(), vol 6178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14049-5_61

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  • DOI: https://doi.org/10.1007/978-3-642-14049-5_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14048-8

  • Online ISBN: 978-3-642-14049-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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