Paper Info
Title
SPARQL query rewriting for implementing data integration over linked data
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.
Year
DOI
Venue
2010
10.1145/1754239.1754244
EDBT/ICDT Workshops
Keywords
Field
DocType
semantic web community,sparql query,data publisher,rdf data,rdf pattern,aligning data model,data integration,web dimension,structured data,ontology alignment,data model,semantic web,linked data,logical framework,rdf,data integrity,sparql
Ontology-based data integration,RDF query language,Information retrieval,Computer science,Semantic Web,Linked data,SPARQL,Named graph,RDF Schema,RDF
Conference
Citations 
PageRank 
References 
38
1.90
19
Authors
5
Name
Order
Citations
PageRank
Gianluca Correndo116518.39
Manuel Salvadores220518.55
Ian Millard312510.84
Hugh Glaser433138.23
Nigel Shadbolt54273321.53