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A Functional Ontology of Observation and Measurement

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GeoSpatial Semantics (GeoS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5892))

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Abstract

An ontology of observation and measurement is proposed, which models the relevant information processes independently of sensor technology. It is kept at a sufficiently general level to be widely applicable as well as compatible with a broad range of existing and evolving sensor and measurement standards. Its primary purpose is to serve as an extensible backbone for standards in the emerging semantic sensor web. It also provides a foundation for semantic reference systems by grounding the semantics of observations, as generators of data. In its current state, it does not yet deal with resolution and uncertainty, nor does it specify the notion of a semantic datum formally, but it establishes the ontological basis for these as well as other extensions.

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Author information

Authors and Affiliations

  1. Institute for Geoinformatics, University of Muenster, Weselerstr. 253, 48151, Münster, Germany

    Werner Kuhn

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  1. Werner Kuhn
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Editor information

Editors and Affiliations

  1. Department of Geography, The Pennsylvania State University, University Park, 16802, PA, USA

    Krzysztof Janowicz

  2. Department of Geography, University of California, Santa Barbara, 93106, CA, USA

    Martin Raubal

  3. Centro de Investigacion en Computacion, National Polytechnic Institute, 07738, Mexico City, Mexico

    Sergei Levashkin

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© 2009 Springer-Verlag Berlin Heidelberg

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Kuhn, W. (2009). A Functional Ontology of Observation and Measurement. In: Janowicz, K., Raubal, M., Levashkin, S. (eds) GeoSpatial Semantics. GeoS 2009. Lecture Notes in Computer Science, vol 5892. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10436-7_3

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  • DOI: https://doi.org/10.1007/978-3-642-10436-7_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10435-0

  • Online ISBN: 978-3-642-10436-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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