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Integrating semantic knowledge in data stream processing

  • 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.

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Metadaten
Author:Simon Beckstein, Ralf BrunsGND, Jürgen DunkelGND, Leonard Renners
URN:urn:nbn:de:bsz:960-opus4-10630
URL:http://ceur-ws.org/Vol-1070/kese9-01_02.pdf
Parent Title (English):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
Document Type:Conference Proceeding
Language:English
Year of Completion:2013
Release Date:2017/03/28
Tag:data stream processing
C-SPARQL; CQL; semantic knowledge
Institutes:Fakultät IV - Wirtschaft und Informatik
DDC classes:004 Informatik
Licence (German):License LogoUrheberrechtlich geschützt