Advertisement

The IGN-E Case: Integrating Through a Hidden Ontology

  • A Gómez-Pérez
  • JA Ramos
  • A Rodríguez-Pascual
  • LM Vilches-Blázquez
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

National Geographic Institute of Spain (IGN-E) wanted to integrate its main information sources for building a common vocabulary reference and thus to manage the huge amount of information it held. The main problem of this integration is the great heterogeneity of data sources. The Ontology Engineering Group (OEG) is working with IGN-E to attain this objective in two phases: first, by creating automatically an ontology using the semantics of catalogues sections, and second, by discovering mappings automatically that can relate ontology concepts to database instances. So, these mappings are the instruments to break the syntactic, semantic and granularity heterogeneity gap. We have developed software for building a first ontology version and for discovering automatically mappings using techniques that take into account all types of heterogeneity. The ontology contains a set of extra-attributes which are identified in the building process. The ontology, called PhenomenOntology, will be reviewed by domain experts of IGN-E. The automatic mapping discovery will be also used for discovering new knowledge that will be added to the ontology. For increasing the usability and giving independence to different parts, the processes of each phase will be designed automatically and as upgradeable as possible.

Keywords

ontology creation geographic information feature catalogues mapping discovery ontology-database mapping heterogeneity 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Alonso G, Abbadi AE (1994) Cooperative modelling in applied geographic research. International Journal of Intelligent and Cooperative Information Systems, 3(1): 83-102CrossRefGoogle Scholar
  2. Arpírez JC, Corcho O, Fernández-López M, Gómez-Pérez A (2003) WebODE in a nutshell. AI MagazineGoogle Scholar
  3. Bishr Y (1998) Overcoming the semantic and other barriers to GIS interoperability. International Journal of Geographical Information Science, 12(4): 299–314CrossRefGoogle Scholar
  4. International Standard Organization (ISO) (2003) ISO 19112:2003 Geographic Information – Spatial referencing by geographic identifiers.Google Scholar
  5. Fonseca FT, Egenhofer MJ, Davis CA, Câmara G (2002) Semantic Granularity in Ontology-Driven Geographic Information Systems. Annals of Mathematics and Artificial Intelligence. Volume: 36, 2002. Issue: 1-2, pp 121-151Google Scholar
  6. Gómez-Pérez A, Ramos JA (2008) Semantic mappings: out of ontology world limits. Intl. Workshop on Ontology Alignment and Visualization. March 4-7, 2008. Barcelona, Spain, pp 907-912Google Scholar
  7. Greenwood J, Hart G (2003) Sharing Feature Based Geographic Information – A Data Model Perspective. 7$th$ Int. Conference on GeoComputation. United KingdomGoogle Scholar
  8. Hakimpour F (2003) Using Ontologies to Resolve Semantic Heterogeneity for Integrating Spatial Database Schemata. Ph.D. thesis, Zurich University, SwitzerlandGoogle Scholar
  9. Hakimpour F, Timpf S (2001) Using Ontologies for Resolution of Semantic Heterogeneity in GIS. 4th. AGILE Conference on Geographic Information Science, Brno, Czech RepublicGoogle Scholar
  10. ISO 19110 (2005) Geographic Information – Methodology for feature cataloguing.Google Scholar
  11. ISO 19112 (2003) Geographic Information – Spatial referencing by geographic identifiers.Google Scholar
  12. Nomenclátor Geográfico Conciso de España (2006), versión 1.0. Presentación y Especificaciones. Instituto Geográfico Nacional http://www.idee.es/ApliVisio/ Nomenclator/NGCE.pdfGoogle Scholar
  13. OGC (2003) OpenGIS Reference Model. Version 0.1.2, OGC Inc. Wayland, MA, USAGoogle Scholar
  14. Rodríguez Pascual AF, García Asensio L (2005) A fully integrated information system to manage cartographic and geographic data at a 1:25,000 scale. XXII International Cartographic Conference. A Coruña, Spain. ISBN: 0-958-46093-0Google Scholar
  15. Sevilla Sánchez C, Rodríguez Pascual AF, González Matesanz FJ, Blanco Ortega LM, Vilches-Blázquez LM (2006) Un SIG corporativo en el IGN para la gestión integrada, publicación y análisis de datos geográficos. In proceedings of XII Congreso Nacional de Tecnologías de la Información Geográfica. Camacho Olmedo, M.T.; Cañete Pérez, J.A.y Lara Valle, J.J. Ed. ISBN: 84-338-3944-6 Depósito Legal: GR-1855-2006Google Scholar
  16. Stuckenschmidt H, Visser U, Schuster G, Vögele T (1999) Ontologies for geographic information integration. Proceedings of Workshop Intelligent Methods in Environmental Protection: Special Aspects of Processing in Space and Time, 13. International Symposium of Computer Science for Environmental Protection, CSEP 1999, pp 81-107Google Scholar
  17. Vilches-Blázquez LM, Rodríguez Pascual AF, Mezcua Rodríguez J, Bernabé Poveda MA, Corcho O(2007a) An approach towards a harmonized framework for hydrographic features domain. In Conference Proceedings of XXIII International Cartographic Conference. 4-10 August 2007, Moscow, RussiaGoogle Scholar
  18. Vilches Blázquez LM, Bernabé Poveda MA, Suárez Figueroa MC, Gómez-Pérez A, Rodríguez Pascual A F (2007b) Towntology & hydrOntology: Relationship between Urban and Hydrographic Features in the Geographic Information Domain. In :Ontologies for Urban Development (Eds). Teller, J.; Roussey, C.; Lee, J. Springer-Verlag, 2007. ISBN: 978-3-540-71975-5Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • A Gómez-Pérez
    • 1
  • JA Ramos
    • 1
  • A Rodríguez-Pascual
    • 2
  • LM Vilches-Blázquez
    • 2
  1. 1.Ontology Engineering Group – UPMSpain
  2. 2.National Geographic Institute of Spain (IGN-E)Spain

Personalised recommendations