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Ontological Analysis of Observations and Measurements

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Geographic Information Science (GIScience 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4197))

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Abstract

Geographic information is based on observations or measurements. The Open Geospatial Consortium (OGC) has developed an implementation specification for observations and measurements (O&M). It specifies precisely how to encode information. Yet, the O&M conceptual model does not specify precisely which real-world entities are denoted by the specified information objects. We provide formal semantics for the central O&M terms by aligning them to the foundational ontology DOLCE. The alignment to a foundational ontology restricts the possible interpretations of the central elements in the O&M model and establishes explicit relations between categories of real world entities and classes of information objects. These relations are essential for assessing semantic interoperability between geospatial information sources.

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Author information

Authors and Affiliations

  1. Institute for Geoinformatics, University of Münster, Robert-Koch-Str. 26-28, 48149, Münster, Germany

    Florian Probst

Authors
  1. Florian Probst
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Editor information

Editors and Affiliations

  1. Department of Geography, University of California, Santa Barbara, 5713 Ellison Hall, 93106, Santa Barbara, CA, U.S.A.

    Martin Raubal

  2. University of Utah, 84112-9155, Salt Lake City, UT, USA

    Harvey J. Miller

  3. Vienna University of Technology, 1040, Vienna, Austria

    Andrew U. Frank

  4. University of California, 93106-4060, Santa Barbara, CA, USA

    Michael F. Goodchild

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© 2006 Springer-Verlag Berlin Heidelberg

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Probst, F. (2006). Ontological Analysis of Observations and Measurements. In: Raubal, M., Miller, H.J., Frank, A.U., Goodchild, M.F. (eds) Geographic Information Science. GIScience 2006. Lecture Notes in Computer Science, vol 4197. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11863939_20

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  • DOI: https://doi.org/10.1007/11863939_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44526-5

  • Online ISBN: 978-3-540-44528-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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