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International Conference on Informatics Engineering and Information Science

ICIEIS 2011: Informatics Engineering and Information Science pp 228–242Cite as

Introducing Knowledge-Enrichment Techniques for Complex Event Processing

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 253))

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.

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Author information

Authors and Affiliations

  1. School of Information and Communication Technology, Griffith University, Brisbane, Australia

    Sebastian Binnewies & Bela Stantic

Authors
  1. Sebastian Binnewies
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  2. Bela Stantic
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Editor information

Editors and Affiliations

  1. Advanced Informatics School (UTM AIS), UTM International Campus, 54100, Kuala Lumpur, Malaysia

    Azizah Abd Manaf , Shamsul Sahibuddin , Rabiah Ahmad  & Salwani Mohd Daud , ,  & 

  2. Information Systems Department, King Saud University, Riyadh, Saudi Arabia

    Eyas El-Qawasmeh

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© 2011 Springer-Verlag Berlin Heidelberg

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Binnewies, S., Stantic, B. (2011). Introducing Knowledge-Enrichment Techniques for Complex Event Processing. In: Abd Manaf, A., Sahibuddin, S., Ahmad, R., Mohd Daud, S., El-Qawasmeh, E. (eds) Informatics Engineering and Information Science. ICIEIS 2011. Communications in Computer and Information Science, vol 253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25462-8_20

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  • DOI: https://doi.org/10.1007/978-3-642-25462-8_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25461-1

  • Online ISBN: 978-3-642-25462-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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