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International Symposium on Web and Wireless Geographical Information Systems

W2GIS 2015: Web and Wireless Geographical Information Systems pp 107–123Cite as

Spatial Selectivity Estimation for Web Searching

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9080))

Abstract

Estimating how many records qualify for a spatial predicate is crucial when choosing a cost-effective query execution plan, especially in presence of extra non-spatial criteria. The challenge is far bigger with geospatial data on the Web, as information is inherently disparate in many sites and effective search should avoid transmission of large datasets. Our idea is that fast, succinct, yet reliable estimates of spatial selectivity could incur significant reduction in query execution costs. Towards this goal, we examine variants of well known spatial indices enhanced with data distribution statistics, essentially building spatial histograms. We compare these methods in terms of performance and estimation accuracy over real datasets and query workloads of varying range. Our empirical study exhibits their pros and cons and confirms the potential of spatial histograms for optimized search on the Web of Data.

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Author information

Authors and Affiliations

  1. School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Hellas

    Kostas Patroumpas

  2. Institute for the Management of Information Systems, Athena, RC, Hellas

    Kostas Patroumpas

Authors
  1. Kostas Patroumpas
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Correspondence to Kostas Patroumpas .

Editor information

Editors and Affiliations

  1. Université Grenoble Alpes, Saint Martin d'Heres, France

    Jérôme Gensel

  2. University of Zurich - Irchel, Zurich, Switzerland

    Martin Tomko

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Patroumpas, K. (2015). Spatial Selectivity Estimation for Web Searching. In: Gensel, J., Tomko, M. (eds) Web and Wireless Geographical Information Systems. W2GIS 2015. Lecture Notes in Computer Science(), vol 9080. Springer, Cham. https://doi.org/10.1007/978-3-319-18251-3_7

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  • DOI: https://doi.org/10.1007/978-3-319-18251-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18250-6

  • Online ISBN: 978-3-319-18251-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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