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dc.contributor.authorHadzic, Maja
dc.contributor.authorChang, Elizabeth
dc.date.accessioned2017-01-30T13:46:14Z
dc.date.available2017-01-30T13:46:14Z
dc.date.created2008-11-19T18:01:59Z
dc.date.issued2008
dc.identifier.citationHadzic, Maja and Chang, Elizabeth. Onto-ontology methodology for design of ontology-based multi-agent systems. International Journal of Computer Systems Science and Engineering. 23 (1): 65-76.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/34868
dc.description.abstract

Multi-agent system provides a distributed collaborative platform and characterizes the system dynamics. Ontologies represent the domain knowledge and can be used to support various processes within a multi-agent system. Ontologies are high expressive knowledge models and as such increase the expressiveness and intelligence of a system. We propose onto-agent methodology for design of ontology-based multi-agent systems, as the first methodology that unifies the different approaches of the existing ontology and multi-agent systems design methodologies. Onto-Agent Methodology is composed of the two interconnected processes: ontology design process and multi-agent system design process. Each of the two design processes is composed of five steps. We discuss each of the steps separately and provide some illustrative examples.

dc.publisherCRL Publishers
dc.relation.urihttp://www.crlpublishing.co.uk/journal.asp?j=csse&s=Vol 23 2008
dc.subjectmulti-agent system design methodoloy
dc.subjectontology-based multi-agent system design methodology
dc.subjectmulti-agent systems
dc.subjectintelligent multi-agent system
dc.subjectontology-based multi-agent systems
dc.subjectontology
dc.subjectintelligent multi-agent system design methodology
dc.subjectontology design methodology
dc.titleOnto-ontology methodology for design of ontology-based multi-agent systems
dc.typeJournal Article
dcterms.source.volume23
dcterms.source.number1
dcterms.source.startPage65
dcterms.source.endPage76
dcterms.source.issn02676192
dcterms.source.titleInternational Journal of Computer Systems Science and Engineering
curtin.departmentCentre for Extended Enterprises and Business Intelligence
curtin.accessStatusOpen access


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