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Spatial Relations for Semantic Similarity Measurement

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Perspectives in Conceptual Modeling (ER 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3770))

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Abstract

Measuring semantic similarity among concepts is the core method for assessing the degree of semantic interoperability within and between ontologies. In this paper, we propose to extend current semantic similarity measures by accounting for the spatial relations between different geospatial concepts. Such integration of spatial relations, in particular topologic and metric relations, leads to an enhanced accuracy of semantic similarity measurements. For the formal treatment of similarity the theory of conceptual vector spaces—sets of quality dimensions with a geometric or topologic structure for one or more domains—is utilized. These spaces allow for the measurement of semantic distances between concepts. A case study from the geospatial domain using Ordnance Survey’s MasterMap is used to demonstrate the usefulness and plausibility of the approach.

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Author information

Authors and Affiliations

  1. Ordnance Survey of Great Britain, United Kingdom

    Angela Schwering

  2. Institute for Geoinformatics, University of Muenster, Germany

    Angela Schwering & Martin Raubal

Authors
  1. Angela Schwering
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  2. Martin Raubal
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Editor information

Editors and Affiliations

  1. Conservatoire National des Arts et Métiers and INT, France

    Jacky Akoka

  2. Information Systems Department, Brigham Young Univeristy, 84602, Provo, Utah, U.S.A.

    Stephen W. Liddle

  3. College of Information Science and Technology, Drexel University, USA

    Il-Yeol Song

  4. University College, Dublin, Ireland

    Michela Bertolotto

  5. CEDRIC-CNAM and ESSEC,  

    Isabelle Comyn-Wattiau

  6. Infolab, Tilburg University, PO Box 90158, 5000 LE, Tilburg, The Netherlands

    Willem-Jan van den Heuvel

  7. ISYS- Information Systems Research Unit, IAG-Louvain School of Management, Université catholique de Louvain, 1348 Louvain-la-Neuve, Belgium

    Manuel Kolp

  8. Department of Software and Computing Systems, University of Alicante, Spain

    Juan Trujillo

  9. Institute for Applied Informatics, Alpen-Adria-Universität, Klagenfurt, Austria

    Christian Kop  & Heinrich C. Mayr  & 

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© 2005 Springer-Verlag Berlin Heidelberg

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Schwering, A., Raubal, M. (2005). Spatial Relations for Semantic Similarity Measurement. In: Akoka, J., et al. Perspectives in Conceptual Modeling. ER 2005. Lecture Notes in Computer Science, vol 3770. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11568346_28

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  • DOI: https://doi.org/10.1007/11568346_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29395-8

  • Online ISBN: 978-3-540-32239-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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