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dc.contributor.convenorAzizah Abd Manaf
dc.contributor.authorBinnewies, Sebastian
dc.contributor.authorStantic, Bela
dc.contributor.editorAbdManaf, A
dc.contributor.editorSahibuddin, S
dc.contributor.editorAhmad, R
dc.contributor.editorDaud, SM
dc.contributor.editorElQawasmeh, E
dc.date.accessioned2017-05-03T11:26:40Z
dc.date.available2017-05-03T11:26:40Z
dc.date.issued2011
dc.date.modified2013-08-28T22:19:48Z
dc.identifier.isbn978-3-642-25462-8
dc.identifier.issn1865-0929
dc.identifier.refurihttp://www.sdiwc.net/kl/
dc.identifier.doi10.1007/978-3-642-25462-8_20
dc.identifier.urihttp://hdl.handle.net/10072/43576
dc.description.abstractComplex 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.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent1085302 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer
dc.publisher.placeGermany
dc.relation.ispartofchapter20
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofconferencenameInternational Conference on Informatics Engineering and Information Science (ICIEIS 2011)
dc.relation.ispartofconferencetitleINFORMATICS ENGINEERING AND INFORMATION SCIENCE, PT III
dc.relation.ispartofdatefrom2011-11-14
dc.relation.ispartofdateto2011-11-16
dc.relation.ispartoflocationUniv Teknol Malaysia, Kuala Lumpur, MALAYSIA
dc.relation.ispartofpagefrom228
dc.relation.ispartofpagefrom15 pages
dc.relation.ispartofpageto242
dc.relation.ispartofpageto15 pages
dc.relation.ispartofissuePART 3
dc.relation.ispartofvolume253
dc.rights.retentionY
dc.subject.fieldofresearchDatabase systems
dc.subject.fieldofresearchInformation systems organisation and management
dc.subject.fieldofresearchcode460505
dc.subject.fieldofresearchcode460908
dc.titleIntroducing Knowledge-Enrichment Techniques for Complex Event Processing
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.rights.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
gro.date.issued2011
gro.hasfulltextFull Text
gro.griffith.authorStantic, Bela
gro.griffith.authorBinnewies, Sebastian


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    Contains papers delivered by Griffith authors at national and international conferences.

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