TY - GEN
T1 - The IGN-E case
T2 - 13th International Symposium on Spatial Data Handling, SDH 2008
AU - Gómez-Pérez, A.
AU - Ramos, J. A.
AU - Rodríguez-Pascual, A.
AU - Vilches-Blázquez, L. M.
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
KW - Feature catalogues
KW - Geographic information
KW - Heterogeneity
KW - Mapping discovery
KW - Ontology creation
KW - Ontology-database mapping
UR - http://www.scopus.com/inward/record.url?scp=73649120907&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-68566-1_24
DO - 10.1007/978-3-540-68566-1_24
M3 - Contribución a la conferencia
AN - SCOPUS:73649120907
SN - 9783540685654
T3 - Lecture Notes in Geoinformation and Cartography
SP - 417
EP - 435
BT - Headway in Spatial Data Handling - 13th International Symposium on Spatial Data Handling, SDH 2008
PB - Kluwer Academic Publishers
Y2 - 23 June 2008 through 25 June 2008
ER -