Integrating Semantic Knowledge in Data Stream Processing

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Provided by: University of Antwerp
Topic: Data Management
Format: PDF
Complex Event Processing (CEP) has been established as a well-suited software technology for processing high-frequent data streams. However, intelligent stream based systems must integrate stream data with semantical background knowledge. In this paper, the authors investigate different approaches on integrating stream data and semantic domain knowledge. In particular, they discuss from a software engineering perspective two different architectures: an approach adding an ontology access mechanism to a common Continuous Query Language (CQL) is compared with C-SPARQL, a streaming extension of the RDF query language SPARQL.
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