6533b854fe1ef96bd12ae9fd

RESEARCH PRODUCT

Use of Geospatial Analyses for Semantic Reasoning

Ashish KarmacharyaChristophe CruzFrank BoochsFranck Marzani

subject

Geospatial analysisComputer scienceGIS system02 engineering and technologycomputer.software_genreLNCS[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Spatial Knowledge Reasoning0202 electrical engineering electronic engineering information engineering[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]AxiomSWRLcomputer.programming_languageOWLInformation retrieval[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]Spatial databaseBuilt-ins020207 software engineeringWeb Ontology LanguageSemantic reasonerExtension (predicate logic)Spatial function[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]020201 artificial intelligence & image processingcomputerSpatial functions

description

International audience; This work focuses on the integration of the spatial analyses for semantic reasoning in order to compute new axioms of an existing OWL ontology. To make it concrete, we have defined Spatial Built-ins, an extension of existing Built-ins of the SWRL rule language. It permits to run deductive rules with the help of a translation rule engine. Thus, the Spatial SWRL rules are translated to standard SWRL rules. Once the spatial functions of the Spatial SWRL rules are computed with the help of a spatial database system, the resulting translated rules are computed with a reasoning engine such as Racer, Jess or Pellet.

https://hal-univ-bourgogne.archives-ouvertes.fr/hal-00639534