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Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/577696
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dc.contributor.authorChing Chieh Kiu
dc.date.accessioned2023-11-06T02:46:32Z-
dc.date.available2023-11-06T02:46:32Z-
dc.date.issued2016-07
dc.identifier.issn0128-7680
dc.identifier.otherukmvital:83337
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/577696-
dc.descriptionWith the proliferation of Web 2.0 technologies, folksonomy which is also known as social tagging or collaborative tagging is widely used by learners to annotate and categorize their learning resources. In a folksonomy system, the tags are added by learners to the learning resources, hence the tags are often ambiguous, overly personalised and imprecise. In addition, conjugated words, compound words and nonsense words may be used in tagging and shared among a group of learners. This has resulted in an uncontrolled and chaotic set of tagging terms that cause learning resources searching, reuse and sharing to become ineffective. In this paper, we present a content-based approach which automatically generates tags from a learning resource using Part-Of-Speech Tagging and K-Means Clustering techniques. The generated tags are more precise and unambiguous which can improve learning resources searching, reuse and sharing among learners.
dc.language.isoen
dc.relation.haspartPertanika Journal of Social Sciences & Humanities
dc.relation.urihttp://www.pertanika.upm.edu.my/regular_issues.php?jtype=2&journal=JST-24-2-7
dc.subjectFolksonomy
dc.subjectClustering
dc.subjectK-Means
dc.subjectPart-of-Speech
dc.subjectCollaborative tagging
dc.subjectLearning content reuse
dc.subjectLearning content Sharing
dc.subjectLearning process
dc.subjectAutomatic tagging
dc.titleAutomatic tags generation in folksonomy for learning resources reuse and sharing
dc.typeJournal Article
dc.format.volume24
dc.format.pages493-506
dc.format.issue2
Appears in Collections:Journal Content Pages/ Kandungan Halaman Jurnal

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