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Knowledge Representation for Intelligent Systems

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dc.contributor.author Vassev, Emil
dc.date.accessioned 2012-06-07T13:59:19Z
dc.date.available 2012-06-07T13:59:19Z
dc.date.issued 2011
dc.identifier.citation Vassev, E (2011) "Knowledge Representation for Intelligent Systems," in Encyclopedia of Softtware Engineering pp.1-13 en_US
dc.identifier.uri http://hdl.handle.net/10344/2255
dc.description peer-reviewed en_US
dc.description.abstract Knowledge is a source of intelligence and both knowledge representation and knowledge management are crucial for intelligent systems. Well employed knowledge helps such systems become aware of situations, recognize states and eventually respond to changes. An intelligent system shall incorporate knowledge that helps the system reason about important external and internal factors, and eventually learn from experience and infer missing knowledge. This entry discusses the notion of knowledge and surveys knowledge representation approaches together with concepts and techniques for system intelligence based on knowledge awareness. Moreover, a brief discussion on the author’s view of knowledge representation together with a case study is presented. en_US
dc.language.iso eng en_US
dc.publisher Taylor & Francis en_US
dc.relation.ispartofseries Encyclopedia of Software Engineering;
dc.rights Copyright © 2011 From Encyclopedia of Software Engineering "Knowledge Representation for Intelligent Systems by Vassev, Emil Reproduced by permission of Taylor and Francis Group, LLC, a division of Informa plc en_US
dc.subject knowledge representation en_US
dc.subject awarness en_US
dc.subject intelligent systems en_US
dc.title Knowledge Representation for Intelligent Systems en_US
dc.type info:eu-repo/semantics/bookPart en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.contributor.sponsor SFI en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US
dc.internal.authorcontactother emil.vassev@lero.ie


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