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Bridging Ontologies and Conceptual Schemas in Geographic Information Integration

GeoInformatica volume 7, pages 355–378 (2003)Cite this article

Abstract

Integration of geographic information has increased in importance because of new possibilities arising from the interconnected world and the increasing availability of geographic information. Ontologies support the creation of conceptual models and help with information integration. In this paper, we propose a way to link the formal representation of semantics (i.e., ontologies) to conceptual schemas describing information stored in databases. The main result is a formal framework that explains a mapping between a spatial ontology and a geographic conceptual schema. The mapping of ontologies to conceptual schemas is made using three different levels of abstraction: formal, domain, and application levels. At the formal level, highly abstract concepts are used to express the schema and the ontologies. At the domain level, the schema is regarded as an instance of a generic data model. At the application level, we focus on the particular case of geographic applications. We also discuss the influence of ontologies in both the traditional and geographic systems development methodologies, with an emphasis on the conceptual design phase.

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Authors and Affiliations

  1. School of Information Sciences and Technology, Pennsylvania State University, University Park, PA, 16802, U.S.A

    Frederico Fonseca

  2. Prodabel – Empresa de Informática e Informação do, Município de Belo Horizonte, Belo Horizonte, MG, Brazil

    Clodoveu Davis

  3. Image Processing Division, National Institute for Space Research (INPE), Brazil

    Gilberto Câmara

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  1. Frederico Fonseca
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  2. Clodoveu Davis
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  3. Gilberto Câmara
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Fonseca, F., Davis, C. & Câmara, G. Bridging Ontologies and Conceptual Schemas in Geographic Information Integration. GeoInformatica 7, 355–378 (2003). https://doi.org/10.1023/A:1025573406389

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  • DOI: https://doi.org/10.1023/A:1025573406389

  • ontologies
  • geographic conceptual models
  • geographic data modeling
  • geographic information systems