Towards expressive stream reasoning

Heiner Stuckenschmidt, Stefano Ceri, Emanuele Della Valle, Frank van Harmelen, P. di Milano

Research output: Contribution to JournalArticle

Abstract

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.
Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalProceedings of the Dagstuhl Seminar on Semantic Aspects of Sensor Networks
Publication statusPublished - 2010

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