An execution environment for C-SPARQL queries

  • Authors:
  • Davide Francesco Barbieri;Daniele Braga;Stefano Ceri;Michael Grossniklaus

  • Affiliations:
  • Politecnico di Milano, Milano, Italy;Politecnico di Milano, Milano, Italy;Politecnico di Milano, Milano, Italy;Politecnico di Milano, Milano, Italy

  • Venue:
  • Proceedings of the 13th International Conference on Extending Database Technology
  • Year:
  • 2010

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Abstract

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.