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dc.contributor.authorForbes, David
dc.contributor.authorWongthongtham, Pornpit
dc.contributor.authorTerblanche, C.
dc.contributor.authorPakdeetrakulwong, U.
dc.date.accessioned2017-12-10T12:40:05Z
dc.date.available2017-12-10T12:40:05Z
dc.date.created2017-12-10T12:20:17Z
dc.date.issued2018
dc.identifier.citationForbes, D. and Wongthongtham, P. and Terblanche, C. and Pakdeetrakulwong, U. 2018. Intelligent systemin Ontology Engineering Applications in Healthcare and Workforce Management Systems, Studies in Systems, Decision and Control, vol 123, pp. 87-97. Cham, Switzerland: Springer.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/59370
dc.identifier.doi10.1007/978-3-319-65012-8_8
dc.description.abstract

Ontologies play an important role in enabling knowledge representation, knowledge management, and knowledge sharing. Many applications benefit greatly from making use of ontologies as a means of achieving semantic interoperability among heterogeneous and distributed systems.

dc.titleIntelligent system
dc.typeBook Chapter
dcterms.source.volume123
dcterms.source.startPage87
dcterms.source.endPage97
dcterms.source.titleStudies in Systems, Decision and Control
curtin.departmentSchool of Information Systems
curtin.accessStatusFulltext not available


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