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Towards Expressive Stream Reasoning Stuckenschmidt, Heiner Ceri, Stefano Della Valle, Emanuele van Harmelen, Frank Streaming Data Reasoning C-SPARQL Sensor Networks Stream Data processing has become a popular topic in database research addressing the challenge of efficiently answering queries over continuous data streams. Meanwhile data streams have become more and more important as a basis for higher level decision processes that require complex reasoning over data streams and rich background knowledge. In previous work the foundation for complex reasoning over streams and background knowledge was laid by introducing technologies for wrapping and querying streams in the RDF data format and by supporting simple forms of reasoning in terms of incremental view maintenance. In this paper, we discuss how this existing technologies should be extended toward richer forms of reasoning using Sensor Networks as a motivating example. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Heiner Stuckenschmidt and Stefano Ceri and Emanuele Della Valle and Frank van Harmelen 2010 Is Part Of Dagstuhl Seminar Proceedings, Volume 10042, Semantic Challenges in Sensor Networks (2010) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagSemProc.10042.4 urn:nbn:de:0030-drops-25555 https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10042.4 eng https://creativecommons.org/licenses/by/4.0/legalcode