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On Possibilistic Skyline Queries

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Flexible Query Answering Systems (FQAS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7022))

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Abstract

This paper deals with Skyline queries in the context of possilistic databases, where uncertain attribute values are represented by possibility distributions. In this framework, Skyline queries aim at computing the extent to which any tuple from a given relation is possibly/certainly not dominated by any other tuple from that relation. Beside the interpretation of possibilistic Skyline queries, a basic algorithm suited to their evaluation is provided.

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Author information

Authors and Affiliations

  1. Irisa – Enssat, University of Rennes 1, Technopole Anticipa, 22305, Lannion Cedex, France

    Patrick Bosc, Allel Hadjali & Olivier Pivert

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

Editors and Affiliations

  1. Department of Communication, Business and Information Technologies, Roskilde University, P.O. box 260, 4000, Roskilde, Denmark

    Henning Christiansen

  2. Department of Telecommunications and Information Processing, Ghent University, Sint-Pietersnieuwstraat 41, 9000, Ghent, Belgium

    Guy De Tré

  3. Computer Engineering Department, Middle East Technical University (METU), 06531, Ankara, Türkiye

    Adnan Yazici

  4. Systems Research Institute, Polish Academy of Science, Newelska 6, 01-447, Warsaw, Poland

    Slawomir Zadrozny

  5. Department of Computer Science, Roskilde University, Building 42.1, P.O Box 260, 4000, Roskilde, Denmark

    Troels Andreasen

  6. Department of Electronic Systems, Aalborg University, Niels Bohrs Vey 8, H321, 6700, Esbjerg, Denmark

    Henrik Legind Larsen

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© 2011 Springer-Verlag Berlin Heidelberg

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Bosc, P., Hadjali, A., Pivert, O. (2011). On Possibilistic Skyline Queries. In: Christiansen, H., De Tré, G., Yazici, A., Zadrozny, S., Andreasen, T., Larsen, H.L. (eds) Flexible Query Answering Systems. FQAS 2011. Lecture Notes in Computer Science(), vol 7022. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24764-4_36

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  • DOI: https://doi.org/10.1007/978-3-642-24764-4_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24763-7

  • Online ISBN: 978-3-642-24764-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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