Composite Event Processing for Data Streams and Domain Knowledge

Abstract:

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In recent years the processing of composite event queries over data streams has attracted a lot of research attention. Traditional database techniques were not designed for stream processing system. Furthermore, example continuous queries are often formulated in declarative query language without specifying the semantics. To overcome these deficiencies, this article presents the design, implementation, and evaluation of a system that executes data streams with semantic information. Then, a set of optimization techniques are proposed for handling query. So, our approach not only makes it possible to express queries with a sound semantics, but also provides a solid foundation for query optimization. Experiment results show that our approach is effective and efficient for data streams and domain knowledge.

Info:

Periodical:

Advanced Materials Research (Volumes 219-220)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

927-931

DOI:

10.4028/www.scientific.net/AMR.219-220.927

Citation:

J. Q. Liu and X. L. Guan, "Composite Event Processing for Data Streams and Domain Knowledge", Advanced Materials Research, Vols. 219-220, pp. 927-931, 2011

Online since:

March 2011

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Price:

$35.00

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