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dc.contributor.authorWongthongtham, Pornpit
dc.contributor.authorDillon, Tharam
dc.contributor.authorChang, Elizabeth
dc.contributor.editorIrwin King
dc.contributor.editorIgor Hawryszkiewycz
dc.date.accessioned2017-01-30T12:30:53Z
dc.date.available2017-01-30T12:30:53Z
dc.date.created2012-02-20T20:01:11Z
dc.date.issued2011
dc.identifier.citationWongthongtham, Pornpit and Dillon, Tharam and Chang, Elizabeth. 2011. State of the art of community-driven software engineering ontology evolution, in IEEE 9th International Conference on Dependable, Autonomic and Secure Computing, Dec 12-14 2011. Sydney, NSW: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/22352
dc.identifier.doi10.1109/DASC.2011.170
dc.description.abstract

Ontology evolution becomes an interesting topic in the semantic web field and increasingly getting research momentum. However, there is still a lack of understanding and support in ontology evolution. In this paper, we focus on an approach for ontology evolution of Software Engineering Ontology (SE Ontology) in multi-site software development setting. An integration of agents with semantic web technology and recommender systems to address communication and coordination issues is proposed together with a use of social networks for the purpose of ontology evolution.

dc.publisherIEEE Computer Society
dc.subjectsocial network
dc.subjectsoftware engineering ontology
dc.subjectrecommendation systems
dc.subjectOntology evolution
dc.titleState of the art of community-driven software engineering ontology evolution
dc.typeConference Paper
dcterms.source.startPage1039
dcterms.source.endPage1045
dcterms.source.titleProceedings of the international conference on social computing and its applications (SCA 2011)
dcterms.source.seriesProceedings of the international conference on social computing and its applications (SCA 2011)
dcterms.source.isbn978-1-4673-0006-3
dcterms.source.conferenceInternational Conference on Social Computing and its Applications (SCA 2011)
dcterms.source.conference-start-dateDec 12 2011
dcterms.source.conferencelocationSydney, Australia
dcterms.source.placeAustralia
curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusFulltext not available


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