Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
The IGN-E case: Integrating through a hidden ontology
Año:2008
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
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.
Internacional
Si
Nombre congreso
The 13th International Symposium on Spatial Data Handling
Tipo de participación
960
Lugar del congreso
Montpellier, France
Revisores
Si
ISBN o ISSN
978-3-540-68565-4
DOI
Fecha inicio congreso
23/06/2008
Fecha fin congreso
25/06/2008
Desde la página
417
Hasta la página
435
Título de las actas
In Headway in Spatial Data Handling. 13th SDH¿08. Lecture Notes in Geoinformation and Cartography, Ruas, A., Gold, C. (Eds.)
Esta actividad pertenece a memorias de investigación
Participantes
  • Participante: Antonio Rodríguez Pascual (Instituto Geográfico Nacional)
  • Autor: José Ángel Ramos Gargantilla (UPM)
  • Autor: Asuncion de Maria Gomez Perez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group (LIA). Laboratorio Inteligencia Artificial. Grupo de Ingeniería Ontológica
  • Departamento: Inteligencia Artificial
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