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dc.contributor.authorWongthongtham, Pornpit
dc.contributor.authorChan, K.
dc.contributor.authorPotdar, Vidyasagar
dc.contributor.authorAbu-Salih, B.
dc.contributor.authorGaikwad, S.
dc.contributor.authorJain, P.
dc.contributor.authorChan, Kit Yan
dc.date.accessioned2018-05-18T08:00:25Z
dc.date.available2018-05-18T08:00:25Z
dc.date.created2018-05-18T00:22:46Z
dc.date.issued2018
dc.identifier.citationWongthongtham, P. and Chan, K. and Potdar, V. and Abu-Salih, B. and Gaikwad, S. and Jain, P. and Chan, K.Y. 2018. State-of-the-Art Ontology Annotation for Personalised Teaching and Learning and Prospects for Smart Learning Recommender Based on Multiple Intelligence and Fuzzy Ontology. International Journal of Fuzzy Systems. 20 (4): pp. 1357-1372.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/67988
dc.publisherChinese Fuzzy Systems Association
dc.titleState-of-the-Art Ontology Annotation for Personalised Teaching and Learning and Prospects for Smart Learning Recommender Based on Multiple Intelligence and Fuzzy Ontology
dc.typeJournal Article
dcterms.source.volume20
dcterms.source.number4
dcterms.source.startPage1357
dcterms.source.endPage1372
dcterms.source.issn1562-2479
dcterms.source.titleInternational Journal of Fuzzy Systems
curtin.departmentSchool of Information Systems
curtin.accessStatusFulltext not available


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