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International Symposium on Spatial and Temporal Databases

SSTD 2013: Advances in Spatial and Temporal Databases pp 462–466Cite as

Interactive Toolbox for Spatial-Textual Preference Queries

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8098))

Abstract

Spatial-textual data is ubiquitous on websites such as OpenStreetMap or Wikipedia and is published progressively by Open Government Data Initiatives. Those data sources provide the base for novel mashup applications for Location-Based Services. We present a mobile prototype for the San Francisco area based on Preference SQL that allows an intuitive expression of spatial keyword queries. Search can further be extended towards temporal, categorical, and numerical attributes. Our demo provides a fully flexible toolbox for generating extended spatial-textual queries in non-metric spaces which are evaluated using a Best-Matches-Only query model. Spatial relevance is defined by an asymmetric routing distance supporting complex geometries. Textual relevance is determined using the Apache Lucene library.

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References

  1. Kießling, W.: Foundations of Preferences in Database Systems. In: Proceedings of 28th Int. VLDB Conference, pp. 311–322. Morgan Kaufmann (2002)

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  2. Kießling, W., Endres, M., Wenzel, F.: The Preference SQL System - An Overview. IEEE Data Engineering Bulletin 34(2), 11–18 (2011)

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Augsburg, D-86135, Augsburg, Germany

    Florian Wenzel, Dominik Köppl & Werner Kießling

Authors
  1. Florian Wenzel
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  2. Dominik Köppl
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  3. Werner Kießling
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Editor information

Editors and Affiliations

  1. University of Alberta, Edmonton, AB, Canada

    Mario A. Nascimento

  2. RMIT University, Melbourne, VIC, Australia

    Timos Sellis

  3. Department of Computer Science, The University of Hong Kong, Hong Kong

    Reynold Cheng

  4. Dept. of Computing Science, University of Alberta, T6G 2E8, Edmonton, Canada,

    Jörg Sander

  5. Microsoft Research Asis, Beijing, China

    Yu Zheng

  6. Institute for Informatics, Ludwig Maximilian University, Munich, Germany

    Hans-Peter Kriegel

  7. Institute for Informatics, Ludwig-Maximilians-Universität München, Oettingenstr, 67, D-80538, München, Germany

    Matthias Renz

  8. Ruprecht-Karls-University, Heidelberg, Germany

    Christian Sengstock

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© 2013 Springer-Verlag Berlin Heidelberg

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Cite this paper

Wenzel, F., Köppl, D., Kießling, W. (2013). Interactive Toolbox for Spatial-Textual Preference Queries. In: Nascimento, M.A., et al. Advances in Spatial and Temporal Databases. SSTD 2013. Lecture Notes in Computer Science, vol 8098. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40235-7_29

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  • DOI: https://doi.org/10.1007/978-3-642-40235-7_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40234-0

  • Online ISBN: 978-3-642-40235-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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