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A Semantic Approach to Describe Geospatial Resources

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Advances in Conceptual Modeling - Challenging Perspectives (ER 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5833))

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Abstract

Geographic information systems (GIS) are increasingly using geospatial data from the Web to produce geographic information. One big challenge is to find the relevant data, which often is based on keywords or even file names. However, these approaches lack semantics. Thus, it is necessary to provide mechanisms to prepare data to help retrieval of semantically relevant data. This paper proposes an approach to attack this problem. This approach is based on semantic annotations that use geographic metadata and ontologies to describe heterogeneous geospatial data. Semantic annotations are RDF/XML files that rely on a FGDC metadata schema, filled with appropriate ontology terms, and stored in a XML database. The proposal is illustrated by a case study of semantic annotations of agricultural resources, using domain ontologies.

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Author information

Authors and Affiliations

  1. Institute of Computing, University of Campinas, 13083-970, Campinas, SP, Brazil

    Sidney Roberto de Sousa

Authors
  1. Sidney Roberto de Sousa
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Editors and Affiliations

  1. Instituto de Informática, Federal University of Rio Grande do Sul, Porto Alegre, Brazil

    Carlos Alberto Heuser

  2. Department of Management Information Systems, University of Regensburg, Universitätsstraße 31, 93053, Regensburg, Germany

    Günther Pernul

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de Sousa, S.R. (2009). A Semantic Approach to Describe Geospatial Resources. In: Heuser, C.A., Pernul, G. (eds) Advances in Conceptual Modeling - Challenging Perspectives. ER 2009. Lecture Notes in Computer Science, vol 5833. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04947-7_39

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  • DOI: https://doi.org/10.1007/978-3-642-04947-7_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04946-0

  • Online ISBN: 978-3-642-04947-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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