Introducing Knowledge-Enrichment Techniques for Complex Event Processing
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Complex event processing received an increasing interest during the last years with the adoption of event-driven architectures in various application domains. Despite a number of solutions that can process events in near real-time, their effectiveness for decision support relies heavily upon human domain knowledge. This poses a problem in areas that require vast amounts of specialized knowledge and background information, such as medical environments. We propose four techniques to enrich complex event processing with domain knowledge from ontologies to overcome this limitation. These techniques focus on preserving the strengths of state-of-the-art systems and enhancing them with existing ontologies to increase accuracy and effectiveness. The viability of our approach is demonstrated in a multifaceted experiment.
Informatics Engineering and Information Science - International Conference, ICIEIS 2011 Kuala Lumpur, Malaysia, November 14-16, 2011 Proceedings, Part III
© 2011 Springer-Verlag GmbH Berlin Heidelberg. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. The original publication is available at www.springerlink.com
Information Systems Management