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Skyline Snippets

  • Conference paper
Flexible Query Answering Systems (FQAS 2011)

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

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Abstract

There is a strong demand for a deep personalization of search systems for many Internet applications. In this respect the proper handling of user preferences plays an important role. Here we focus on the efficient evaluation of the Pareto preference operator for structured data in very large databases. The result set of such a Pareto query, also known as the “skyline”, tends to become very large for higher dimensionalities. Often it is too time-consuming or just not necessary to compute the entire skyline, instead only some fraction of it, called a “snippet”, is sufficient. In this paper we contribute a novel algorithm for a fast computation of such skyline snippets. Our solutions do not rely on the availability of specialized pre-computed indexes, hence are generally applicable. We demonstrate the performance of our approach by several benchmarks studies. The presented results suggest that even for complex Pareto queries, yielding very large skylines, snippets can be computed sufficiently fast, and therefore can be integrated into online Web services.

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Author information

Authors and Affiliations

  1. Institute for Computer Science, University of Augsburg, 86135, Augsburg, Germany

    Markus Endres & Werner Kießling

Authors
  1. Markus Endres
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  2. Werner Kießling
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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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Endres, M., Kießling, W. (2011). Skyline Snippets. 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_22

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  • DOI: https://doi.org/10.1007/978-3-642-24764-4_22

  • 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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