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Improving Geodatabase Semantic Querying Exploiting Ontologies

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6631))

Abstract

Geospatial semantic querying to geographical databases has been recognized as an hot topic in GIS research. Most approaches propose to adopt an ontology as a knowledge representation structure on top of the database, representing the concepts the user can query. These concepts are typically directly mapped to database tables. In this paper we propose a methodology where the ontology is further exploited mapping axioms to spatial SQL queries. The main advantage of this approach is that semantic-rich geospatial queries can be abstractly represented in the ontology and automatically translated into spatial SQL queries.

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Baglioni, M., Masserotti, M.V., Renso, C., Spinsanti, L. (2011). Improving Geodatabase Semantic Querying Exploiting Ontologies. In: Claramunt, C., Levashkin, S., Bertolotto, M. (eds) GeoSpatial Semantics. GeoS 2011. Lecture Notes in Computer Science, vol 6631. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20630-6_2

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  • DOI: https://doi.org/10.1007/978-3-642-20630-6_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20629-0

  • Online ISBN: 978-3-642-20630-6

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