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International Conference on Computational Science and Its Applications

ICCSA 2014: Computational Science and Its Applications – ICCSA 2014 pp 453–468Cite as

Using Ontologies to Support Land-Use Spatial Data Interoperability

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8580))

Abstract

This paper presents an ontology-based concept to support the landuse spatial data interoperability within the Infrastructure for Spatial Information in Europe (INSPIRE). Land-use spatial data specifications are available for different levels, which define the semantic requirements for the exchange of spatial planning data at local and the European levels. A large number of systems in the European Member States operate on various data schemas developed at the national and local levels to fulfil the statutory requirements of the state and local governments. Consequently, conceptual, structural, and formatting differences hamper information exchange between the European and the local level. This paper describes a spatial planning schema mapping approach to support interoperability in the context of INSPIRE implementation. The proposed solution relies on established standards like the GML Geographic Markup Language, the OWL Web Ontology Language, the RIF Rule Interchange Format, and others. Starting from an investigation of INSPIRE interoperability requirements, we outline the concept of a standard-based general platform which allows for the construction of runtime transformation services among different systems. We illustrate the feasibility of the concept by discussing land-use planning application cases within the area of the European Community.

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Author information

Authors and Affiliations

  1. FH Mainz, University of Applied Sciences, Lucy-Hillebrand-Str. 2, 55128, Mainz, Germany

    Falk Würriehausen, Ashish Karmacharya & Hartmut Müller

Authors
  1. Falk Würriehausen
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  2. Ashish Karmacharya
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  3. Hartmut Müller
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Editor information

Editors and Affiliations

  1. School of Engineering, University of Basilicata, 85100, Potenza, Italy

    Beniamino Murgante

  2. Department of Computer and Information Sciences, Covenant University, Ota, Nigeria

    Sanjay Misra

  3. Department of Production and Systems, University of Minho, 4710-057, Braga, Portugal

    Ana Maria A. C. Rocha

  4. DICAR, Polytecnico di Bari, 70125, Bari, Italy

    Carmelo Torre

  5. University of Minho, Braga, Portugal

    Jorge Gustavo Rocha  & Maria Irene Falcão  & 

  6. Monash University, 3800, Clayton, VIC, Australia

    David Taniar

  7. Department of Intelligent Informatics, Kyushu Sangyo University, 2-3-1 Matsukadai, 813-8503, Higashi-ku, Fukuoka, Japan

    Bernady O. Apduhan

  8. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

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© 2014 Springer International Publishing Switzerland

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Würriehausen, F., Karmacharya, A., Müller, H. (2014). Using Ontologies to Support Land-Use Spatial Data Interoperability. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8580. Springer, Cham. https://doi.org/10.1007/978-3-319-09129-7_34

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  • DOI: https://doi.org/10.1007/978-3-319-09129-7_34

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09128-0

  • Online ISBN: 978-3-319-09129-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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