Publication | Closed Access
An execution environment for C-SPARQL queries
140
Citations
20
References
2010
Year
Unknown Venue
Continuous QueriesEngineeringSmart CityComputer ArchitectureSemantic Web DataSemantic WebSoftware AnalysisSemantically-enabled Data FilteringData ScienceGraph Query LanguageManagementData IntegrationData ManagementSemantic IntegrationComputer EngineeringComputer ScienceDistributed Query ProcessingQuery OptimizationContinuous SparqlSemantic Web AbstractionsProgram AnalysisExecution EnvironmentSemantic Sensor NetworkSystem SoftwareBig DataSemantic Interoperability
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.
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