Publication | Open Access
Rewriting SELECT SPARQL queries from 1:n complex correspondences
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2016
Year
Ontology MatchingEngineeringOntology EngineeringSemanticsSemantic WebOntology ReuseOntology-based Data IntegrationInformation RetrievalData ScienceGraph Query LanguageOntology MergingManagementData IntegrationOntology AlignmentData ManagementOntology EntitiesSelect Sparql QueriesQuery OptimizationComplex Ontology CorrespondencesApproximate Query AnsweringQuery RewritingData Modeling
This paper presents a mechanism for rewriting SPARQL queries based on complex ontology correspondences. While the usefulness of simple correspondences, involving single entities from both source and target ontologies, has long been recognized, query rewriting requires more expressive links between ontology entities expressing the true relationships between them. Here, complex correspondences, in the format 1:n, between overlapping ontologies are exploited for rewriting SELECT SPARQL queries, so that they can be expressed over different RDF data sets in the Linked Open Data. Our approach has been evaluated using two data sets, one from the agriculture domain and another based on a reduced set involving the ontologies from the OAEI Conference track.