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URN: urn:nbn:de:0030-drops-25555
URL: http://drops.dagstuhl.de/opus/volltexte/2010/2555/

Stuckenschmidt, Heiner ; Ceri, Stefano ; Della Valle, Emanuele ; van Harmelen, Frank

Towards Expressive Stream Reasoning

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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.

BibTeX - Entry

@InProceedings{stuckenschmidt_et_al:DSP:2010:2555,
  author =	{Heiner Stuckenschmidt and Stefano Ceri and Emanuele Della Valle and Frank van Harmelen},
  title =	{Towards Expressive Stream Reasoning},
  booktitle =	{Semantic Challenges in Sensor Networks},
  year =	{2010},
  editor =	{Karl Aberer and Avigdor Gal and Manfred Hauswirth and Kai-Uwe Sattler and Amit P. Sheth},
  number =	{10042},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2010/2555},
  annote =	{Keywords: Streaming Data, Reasoning, C-SPARQL, Sensor Networks}
}

Keywords: Streaming Data, Reasoning, C-SPARQL, Sensor Networks
Seminar: 10042 - Semantic Challenges in Sensor Networks
Issue date: 2010
Date of publication: 18.05.2010


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