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SPARQL Query Rewriting for Implementing Data Integration over Linked Data

SPARQL Query Rewriting for Implementing Data Integration over Linked Data
SPARQL Query Rewriting for Implementing Data Integration over Linked Data
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.
SPARQL, RDF, query rewriting
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Salvadores, Manuel
c1822871-bf33-41cd-bf97-0e927ff74acc
Millard, Ian
0cc12fdc-51b4-460a-a773-01b0975d2a71
Glaser, Hugh
df88ca22-a72f-4fb6-9784-6578737d8af4
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Salvadores, Manuel
c1822871-bf33-41cd-bf97-0e927ff74acc
Millard, Ian
0cc12fdc-51b4-460a-a773-01b0975d2a71
Glaser, Hugh
df88ca22-a72f-4fb6-9784-6578737d8af4
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7

Correndo, Gianluca, Salvadores, Manuel, Millard, Ian, Glaser, Hugh and Shadbolt, Nigel (2010) SPARQL Query Rewriting for Implementing Data Integration over Linked Data. At 1st International Workshop on Data Semantics (DataSem 2010) 1st International Workshop on Data Semantics (DataSem 2010), Switzerland.

Record type: Conference or Workshop Item (Paper)

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.

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More information

Published date: 22 March 2010
Additional Information: Event Dates: 22/03/2010
Venue - Dates: 1st International Workshop on Data Semantics (DataSem 2010), Switzerland, 2010-03-22
Keywords: SPARQL, RDF, query rewriting
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 268370
URI: https://eprints.soton.ac.uk/id/eprint/268370
PURE UUID: f9381a19-ab63-4be0-8be1-3fa680c88b11
ORCID for Gianluca Correndo: ORCID iD orcid.org/0000-0003-3335-5759

Catalogue record

Date deposited: 17 Feb 2010 11:41
Last modified: 06 Jun 2018 12:39

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