Introducing Knowledge-Enrichment Techniques for Complex Event Processing

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Title Introducing Knowledge-Enrichment Techniques for Complex Event Processing
Author Binnewies, Sebastian; Stantic, Bela
Publication Title Informatics Engineering and Information Science - International Conference, ICIEIS 2011 Kuala Lumpur, Malaysia, November 14-16, 2011 Proceedings, Part III
Editor Azizah Abd Manaf, Shamsul Sahibuddin, Rabiah Ahmad, Salwani Mohd Daud, and Eyas El-Qawasmeh
Year Published 2011
Place of publication Germany
Publisher Springer
Abstract 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.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1007/978-3-642-25462-8_20
Copyright Statement Copyright 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
ISBN 978-3-642-25461-1
Conference name International Conference on Informatics Engineering and Information Science’ (ICIEIS 2011)
Location Kuala Lumpur, Malaysia
Date From 2011-11-14
Date To 2011-11-16
URI http://hdl.handle.net/10072/43576
Date Accessioned 2012-02-23
Date Available 2013-08-28T22:19:48Z
Language en_US
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Database Management; Information Systems Management
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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