TY - CHAP U1 - Konferenzveröffentlichung A1 - Beckstein, Simon A1 - Bruns, Ralf A1 - Dunkel, Jürgen A1 - Renners, Leonard T1 - Integrating semantic knowledge in data stream processing T2 - Proceedings of 9th Workshop on Knowledge Engineering and Software Engineering (KESE9) co-located with the 36th German Conference on Artificial Intelligence (KI2013), Koblenz, Germany, September 17, 2013 N2 - 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 work, we investigate different approaches on integrating stream data and semantic domain knowledge. In particular, we discuss from a software engineering per- spective 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. KW - semantic knowledge KW - CQL KW - C-SPARQL KW - data stream processing Y1 - 2013 UN - https://nbn-resolving.org/urn:nbn:de:bsz:960-opus4-10630 UR - http://ceur-ws.org/Vol-1070/kese9-01_02.pdf U6 - https://doi.org/10.25968/opus-1063 DO - https://doi.org/10.25968/opus-1063 ER -