Publication | Closed Access
Querying RDF streams with C-SPARQL
179
Citations
20
References
2010
Year
Continuous QueriesEngineeringSemantic TechnologySemantic Web DataSemantic WebInformation RetrievalData ScienceGraph Query LanguageManagementData IntegrationRdf StreamsData ManagementSemantic IntegrationKnowledge DiscoveryComputer ScienceData Stream ManagementQuery OptimizationContinuous SparqlAutomated ReasoningCsparql QueriesBig DataSemantic Interoperability
Continuous SPARQL (C-SPARQL) is a new language for continuous queries over streams of RDF data. CSPARQL queries consider windows, i.e., the most recent triples of such streams, observed while data is continuously flowing. Supporting streams in RDF format guarantees interoperability and opens up important applications, in which reasoners can deal with knowledge evolving over time. Examples of such application domains include real-time reasoning over sensors, urban computing, and social semantic data. In this paper, we present the C-SPARQL language extensions in terms of both syntax and examples. Finally, we discuss existing applications that already use C-SPARQL and give an outlook on future research opportunities.
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