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International Conference on GeoSpatial Sematics

GeoS 2005: GeoSpatial Semantics pp 137–152Cite as

Extending Semantic Similarity Measurement with Thematic Roles

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3799))

Abstract

Semantic similarity measurement plays a significant role in semantic interoperability and in information retrieval within the geo domain as it supports the detection of conceptually close but not identical entities. In feature-based models, the similarity measurement is done by comparing common and different features such as parts, attributes and functions. This paper suggests adding thematic roles as an additional type of features to be compared, and shows why and how the usage of thematic roles may prevent wrong function matches.

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Author information

Authors and Affiliations

  1. Institute for Geoinformatics, University of Muenster, Germany

    Krzysztof Janowicz

Authors
  1. Krzysztof Janowicz
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Editor information

Editors and Affiliations

  1. Center for Web Research, Chile

    M. Andrea Rodríguez

  2. Department of Computer Science, University of Illinois at Chicago, 851 South Morgan Street (M/C 152), 60607, Chicago, IL, USA

    Isabel Cruz

  3. National Polytechnic, Institute, Mexico, Centro de Investigacion en Computacion, Mexico

    Sergei Levashkin

  4. National Center for Geographic Information and Analysis and Department of Spatial Information Science and Engineering, University of Maine, Boardman Hall, 04469-5711, Orono, ME, USA

    Max J. Egenhofer

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© 2005 Springer-Verlag Berlin Heidelberg

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Janowicz, K. (2005). Extending Semantic Similarity Measurement with Thematic Roles. In: Rodríguez, M.A., Cruz, I., Levashkin, S., Egenhofer, M.J. (eds) GeoSpatial Semantics. GeoS 2005. Lecture Notes in Computer Science, vol 3799. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11586180_10

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  • DOI: https://doi.org/10.1007/11586180_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30288-9

  • Online ISBN: 978-3-540-32283-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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