SPARQL query rewriting for implementing data integration over linked data

Authors:
Gianluca Correndo;Manuel Salvadores;Ian Millard;Hugh Glaser;Nigel Shadbolt
Affiliations:
University of Southampton, Southampton, UK;University of Southampton, Southampton, UK;University of Southampton, Southampton, UK;University of Southampton, Southampton, UK;University of Southampton, Southampton, UK
Venue:
Proceedings of the 2010 EDBT/ICDT Workshops
Year:
2010

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Abstract

There has been lately an increased activity of publishing structured data in RDF due to the activity of the Linked Data community. The presence on the Web of such a huge information cloud, ranging from academic to geographic to gene related information, poses a great challenge when it comes to reconcile heterogeneous schemas adopted by data publishers. For several years, the Semantic Web community has been developing algorithms for aligning data models (ontologies). Nevertheless, exploiting such ontology alignments for achieving data integration is still an under supported research topic. The semantics of ontology alignments, often defined over a logical frameworks, implies a reasoning step over huge amounts of data, that is often hard to implement and rarely scales on Web dimensions. This paper presents an algorithm for achieving RDF data mediation based on SPARQL query rewriting. The approach is based on the encoding of rewriting rules for RDF patterns that constitute part of the structure of a SPARQL query.