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On the (Limited) Difference between Feature and Geometric Semantic Similarity Models

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GeoSpatial Semantics (GeoS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6631))

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Abstract

Semantic similarity assessment is central to many geographic information analysis tasks. A reader of the geographic information science literature on semantic similarity assessment processes could easily get the impression that two of the most common approaches, the feature model and the geometric model, are incompatible and radically different. Through a review of literature I seek to elaborate on and clarify that these two approaches are in fact compatible, and I finish with a brief discussion of the handling of uncertain and missing values in these representations.

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Author information

Authors and Affiliations

  1. Department of Geography, The Ohio State University, 154 N Oval Mall, Columbus, OH, 43210, U.S.A.

    Ola Ahlqvist

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  1. Ola Ahlqvist
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Editors and Affiliations

  1. Naval Academy Research Institute, 29240, Brest Cedex 9, France

    Christophe Claramunt

  2. Centro de Investigacion en Computacion, Instituto Politecnico Nacional, 07738, Mexico City, Mexico

    Sergei Levashkin

  3. School of Computer Science and Informatics, University College Dublin, Dublin, Ireland

    Michela Bertolotto

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Ahlqvist, O. (2011). On the (Limited) Difference between Feature and Geometric Semantic Similarity Models. In: Claramunt, C., Levashkin, S., Bertolotto, M. (eds) GeoSpatial Semantics. GeoS 2011. Lecture Notes in Computer Science, vol 6631. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20630-6_8

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  • DOI: https://doi.org/10.1007/978-3-642-20630-6_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20629-0

  • Online ISBN: 978-3-642-20630-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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