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dc.contributor.authorKasisopha, Natsuda
dc.contributor.authorWongthongtham, Pornpit
dc.contributor.authorHussain, Farookh Khadeer
dc.contributor.editorRobert Meersman
dc.contributor.editorPilar Herrero
dc.contributor.editorTharam Dillon
dc.date.accessioned2017-01-30T12:27:16Z
dc.date.available2017-01-30T12:27:16Z
dc.date.created2010-03-29T20:04:21Z
dc.date.issued2009
dc.identifier.citationKasisopha, Natsuda and Wongthongtham, Pornpit and Hussain, Farookh Khadeer. 2009. Semantic wiki as a basis for software engineering ontology evolution, in Robert Meersman, Pilar Herrero and Tharam Dillon (ed), On the move to meaningful internet systems: OTM 2009 workshops. pp. 858-865. Heidelberg: Springer.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/21754
dc.identifier.doi10.1007/978-3-642-05290-3_104
dc.description.abstract

Ontology plays a vital role in sharing a common understanding of the domain among groups of people and provides terminology interpretable by machines. Recently, ontology has grown and continued to evolve constantly, but there are not many tools to provide an environment to support ontology evolution. This paper introduces a framework to support the management and maintenance leading to the evolution of Ontology by focusing on Software Engineering Ontology. The proposed framework will take into account the users' perspectives on the ontology and keep track of the comments in a formal manner. We propose the use of technology such as Semantic Media Wiki as a means to overcome the aforementioned problems.

dc.publisherSpringer
dc.subjectSoftware Engineering Ontology
dc.subjectSemantic Wiki
dc.subjectOntology Management and Evolution
dc.titleSemantic wiki as a basis for software engineering ontology evolution
dc.typeBook Chapter
dcterms.source.startPage858
dcterms.source.endPage865
dcterms.source.titleOn the move to meaningful internet systems: OTM 2009 workshops
dcterms.source.isbn9783642052897
dcterms.source.placeHeidelberg
dcterms.source.chapter112
curtin.note

The original publication is available at : http://www.springerlink.com

curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusFulltext not available
curtin.facultyCurtin Business School
curtin.facultyThe Digital Ecosystems and Business Intelligence Institute (DEBII)


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