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A Content-Based Approach to Searching and Indexing Spatial Configurations

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Geographic Information Science (GIScience 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2478))

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Abstract

A constant challenge of current spatial information systems is the retrieval of spatial configurations. This paper describes a new approach to retrieving spatial information whose novelty lies in using a content measure of topological relations to search and index spatial configurations. This approach uses a tree-based schema to index relations between objects’ minimum bounding rectangles, it preprocesses the user query to obtain an ordered list of spatial constraints, and it explores three searching algorithms that work over an indexed domain: fully-restrictive forward checking, partially-restrictive forward checking, and permutation-based searching. Experimental results show the viability of this type of indexing schema as well as the differences among searching algorithms.

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Author information

Authors and Affiliations

  1. Department of Information Engineering and Computer Science, University of Concepción, Edmundo Larenas 215, Concepción, Chile

    M. Andrea Rodríguez & Francisco A. Godoy

  2. Center for Web Research, University of Chile, Edmundo Larenas 215, Concepción, Chile

    M. Andrea Rodríguez & Francisco A. Godoy

Authors
  1. M. Andrea Rodríguez
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  2. Francisco A. Godoy
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Editor information

Editors and Affiliations

  1. Department of Spatial Information Science and Engineering, National Center for Geographic Information and Analysis, Orono, ME, 04469-5711, USA

    Max J. Egenhofer

  2. Department of Computer Science, University of Maine, Orono, ME, 04469-5711, USA

    Max J. Egenhofer

  3. National Center for Geographic Information and Analysis Department of Geography, University at Buffalo, 105 Wilkeson Quad., Box 610023, Buffalo, NY, 14261-0023, USA

    David M. Mark

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© 2002 Springer-Verlag Berlin Heidelberg

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Rodríguez, M.A., Godoy, F.A. (2002). A Content-Based Approach to Searching and Indexing Spatial Configurations. In: Egenhofer, M.J., Mark, D.M. (eds) Geographic Information Science. GIScience 2002. Lecture Notes in Computer Science, vol 2478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45799-2_18

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  • DOI: https://doi.org/10.1007/3-540-45799-2_18

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44253-0

  • Online ISBN: 978-3-540-45799-2

  • eBook Packages: Springer Book Archive

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