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Hybridising events and knowledge as a basis for building autonomic systems

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dc.contributor.author Dobson, Simon
dc.contributor.author Nixon, Paddy
dc.contributor.author Coyle, Lorcan
dc.date.accessioned 2009-11-11T14:30:15Z
dc.date.available 2009-11-11T14:30:15Z
dc.date.issued 2007
dc.identifier.uri http://hdl.handle.net/10344/222
dc.description peer-reviewed
dc.description.abstract Event-based systems are a popular substrate for distributing information derived from sensors to be used in driving adaptive behaviour. This paper argues that using events directly provides a poor model of context, and that a hybrid approach that uses events to populate and maintain a distributed knowledge base offers a more stable solution. The inherent uncertainties in both sensor data and reasoning imply that traditional knowledge-based system techniques applied to contextual systems be extended to deal with more uncertain reasoning.
dc.language.iso eng en
dc.publisher IEEE Computer Software Society en
dc.relation.ispartofseries IEEE TCAAS Letters;
dc.rights ©2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. en
dc.subject uncertain reasoning
dc.subject event-based systems
dc.subject knowledge-based systems
dc.title Hybridising events and knowledge as a basis for building autonomic systems en
dc.type Article en
dc.type.supercollection all_ul_research en
dc.type.supercollection ul_published_reviewed en
dc.type.restriction none en
dc.identifier.local 09LERO008


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