DocumentCode :
3423983
Title :
Sharing Data on the Grid using Ontologies and distributed SPARQL Queries
Author :
Langegger, Andreas ; Blöchl, Martin ; Wöß, Wolfram
Author_Institution :
Johannes Kepler Univ. Linz, Linz
fYear :
2007
fDate :
3-7 Sept. 2007
Firstpage :
450
Lastpage :
454
Abstract :
The vision of the semantic Web is to make Web content machine-readable. To describe data, the resource description framework has been extended with a schema-level and description logics (e.g. RDF-S and OWL DL). To successfully retrieve data described by RDF -based ontologies, the query language SPARQL is currently being developed at W3C. However, although SPARQL also provides a client/server protocol, currently queries are targeted to single sites only. For a large-scale data integration, which is the scope of a middleware developed within the Austrian grid project, it is necessary to execute queries on distributed data nodes. Because of the large amount of research undertaken in the field of relational database systems, it is reasonable to apply relational algebra to SPARQL query processors. In fact, most RDF triple stores are based on relational database systems. In this paper, several concepts are proposed to enable the integration of heterogeneous, distributed data sources with SPARQL.
Keywords :
client-server systems; data integrity; grid computing; ontologies (artificial intelligence); query languages; relational databases; semantic Web; Austrian grid project; Web content; client-server protocol; distributed SPARQL queries; distributed data nodes; large-scale data integration; ontologies; query language; relational database systems; resource description framework; semantic Web; Database languages; Information retrieval; Large scale integration; Logic; OWL; Ontologies; Protocols; Relational databases; Resource description framework; Semantic Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Applications, 2007. DEXA '07. 18th International Workshop on
Conference_Location :
Regensburg
ISSN :
1529-4188
Print_ISBN :
978-0-7695-2932-5
Type :
conf
DOI :
10.1109/DEXA.2007.129
Filename :
4312934
Link To Document :
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