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GeoMergeP: Geographic Information Integration through Enriched Ontology Matching

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Abstract

The combination of the use of advanced Information and Communication Technology, especially the Internet, to enable new ways of working, with the enhanced provision of information and interactive services accessible over different channels, is the foundation of a new family of information systems. Particularly, this information explosion on the Web, which threatens our ability to manage information, has affected the geographic information systems. Interoperability is a key word here, since it means, an increasing level of cooperation between information sources on national, regional and local levels; and requires new methods to develop interoperable geographic systems. In this paper, an ontology-driven system (GeoMergeP) is described for the semantic integration of geographic information sources. Particularly, we focus on how ontology matching can be enriched through the use of standards for implementing a semi-automatic matching approach. Then, the requirements and steps of the system are illustrated on the ISPRA (Italian Institute for Environmental Protection and Research) case study. Our preliminary results show that ontology matching can be improved; helping interoperating systems increase reliability of exchanged and shared information.

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Authors and Affiliations

  1. GIISCO Research Group Departamento de Ciencias de la Computación, Universidad Nacional del Comahue, Neuquen, Argentina

    Agustina Buccella

  2. Dipartimento di Informatica, University of Bari, Via E. Orabona, 4 - 70125, Bari, Italy

    Alejandra Cechich, Domenico Gendarmi, Filippo Lanubile & Giovanni Semeraro

  3. ISPRA-Istituto Superiore per la Protezione e la Ricerca Ambientale, Via Curtatone, 3 - 00185, Rome, Italy

    Attilio Colagrossi

Authors
  1. Agustina Buccella
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  2. Alejandra Cechich
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  3. Domenico Gendarmi
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  4. Filippo Lanubile
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  5. Giovanni Semeraro
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  6. Attilio Colagrossi
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Correspondence to Agustina Buccella.

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Buccella, A., Cechich, A., Gendarmi, D. et al. GeoMergeP: Geographic Information Integration through Enriched Ontology Matching. New Gener. Comput. 28, 41–71 (2010). https://doi.org/10.1007/s00354-008-0074-4

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  • DOI: https://doi.org/10.1007/s00354-008-0074-4

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