Publikation:

An execution environment for C-SPARQL queries

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Barbieri_277000.pdf
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2010

Autor:innen

Barbieri, Davide Francesco
Braga, Daniele
Ceri, Stefano

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http://nbn-resolving.de/urn:nbn:de:bsz:352-277000
DOI (zitierfähiger Link)
https://doi.org/10.1145/1739041.1739095
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Proceedings of the 13th International Conference on Extending Database Technology - EDBT '10. New York, New York, USA: ACM Press, 2010, pp. 441-452. ISBN 978-1-60558-945-9. Available under: doi: 10.1145/1739041.1739095

Zusammenfassung

Continuous SPARQL (C-SPARQL) is proposed as new language for continuous queries over streams of RDF data. It covers a gap in the Semantic Web abstractions which is needed for many emerging applications, including our focus on Urban Computing. In this domain, sensor-based information on roads must be processed to deduce localized traffic conditions and then produce traffic management strategies. Executing C-SPARQL queries requires the effective integration of SPARQL and streaming technologies, which capitalize over a decade of research and development; such integration poses several nontrivial challenges.
In this paper we (a) show the syntax and semantics of the C-SPARQL language together with some examples; (b) introduce a query graph model which is an intermediate representation of queries devoted to optimization; (c) discuss the features of an execution environment that leverages existing technologies; (d) introduce optimizations in terms of rewriting rules applied to the query graph model, so as to efficiently exploit the execution environment; and (e) show evidence of the effectiveness of our optimizations on a prototype of execution environment.

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004 Informatik

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The 13th International Conference on Extending Database Technology - EDBT '10, 22. März 2010 - 26. März 2010, Lausanne, Switzerland
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ISO 690BARBIERI, Davide Francesco, Daniele BRAGA, Stefano CERI, Michael GROSSNIKLAUS, 2010. An execution environment for C-SPARQL queries. The 13th International Conference on Extending Database Technology - EDBT '10. Lausanne, Switzerland, 22. März 2010 - 26. März 2010. In: Proceedings of the 13th International Conference on Extending Database Technology - EDBT '10. New York, New York, USA: ACM Press, 2010, pp. 441-452. ISBN 978-1-60558-945-9. Available under: doi: 10.1145/1739041.1739095
BibTex
@inproceedings{Barbieri2010execu-27700,
  year={2010},
  doi={10.1145/1739041.1739095},
  title={An execution environment for C-SPARQL queries},
  isbn={978-1-60558-945-9},
  publisher={ACM Press},
  address={New York, New York, USA},
  booktitle={Proceedings of the 13th International Conference on Extending Database Technology - EDBT '10},
  pages={441--452},
  author={Barbieri, Davide Francesco and Braga, Daniele and Ceri, Stefano and Grossniklaus, Michael}
}
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    <dcterms:abstract xml:lang="eng">Continuous SPARQL (C-SPARQL) is proposed as new language for continuous queries over streams of RDF data. It covers a gap in the Semantic Web abstractions which is needed for many emerging applications, including our focus on Urban Computing. In this domain, sensor-based information on roads must be processed to deduce localized traffic conditions and then produce traffic management strategies. Executing C-SPARQL queries requires the effective integration of SPARQL and streaming technologies, which capitalize over a decade of research and development; such integration poses several nontrivial challenges.&lt;br /&gt;In this paper we (a) show the syntax and semantics of the C-SPARQL language together with some examples; (b) introduce a query graph model which is an intermediate representation of queries devoted to optimization; (c) discuss the features of an execution environment that leverages existing technologies; (d) introduce optimizations in terms of rewriting rules applied to the query graph model, so as to efficiently exploit the execution environment; and (e) show evidence of the effectiveness of our optimizations on a prototype of execution environment.</dcterms:abstract>
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