Interactive Toolbox for Spatial-Textual Preference Queries

Wenzel, Florian; Köppl, Dominik; Kießling, Werner

doi:10.1007/978-3-642-40235-7_29

Florian Wenzel²⁴,
Dominik Köppl²⁴ &
Werner Kießling²⁴

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

Included in the following conference series:

International Symposium on Spatial and Temporal Databases

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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

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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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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Authors and Affiliations

Department of Computer Science, University of Augsburg, D-86135, Augsburg, Germany
Florian Wenzel, Dominik Köppl & Werner Kießling

Authors

Florian Wenzel
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Dominik Köppl
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Werner Kießling
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Editors and Affiliations

University of Alberta, Edmonton, AB, Canada
Mario A. Nascimento
RMIT University, Melbourne, VIC, Australia
Timos Sellis
Department of Computer Science, The University of Hong Kong, Hong Kong
Reynold Cheng
Dept. of Computing Science, University of Alberta, T6G 2E8, Edmonton, Canada,
Jörg Sander
Microsoft Research Asis, Beijing, China
Yu Zheng
Institute for Informatics, Ludwig Maximilian University, Munich, Germany
Hans-Peter Kriegel
Institute for Informatics, Ludwig-Maximilians-Universität München, Oettingenstr, 67, D-80538, München, Germany
Matthias Renz
Ruprecht-Karls-University, Heidelberg, Germany
Christian Sengstock

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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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