Please use this identifier to cite or link to this item:
https://ptsldigital.ukm.my/jspui/handle/123456789/577696| Title: | Automatic tags generation in folksonomy for learning resources reuse and sharing |
| Authors: | Ching Chieh Kiu |
| Keywords: | Folksonomy Clustering K-Means Part-of-Speech Collaborative tagging Learning content reuse Learning content Sharing Learning process Automatic tagging |
| Issue Date: | Jul-2016 |
| Description: | With 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. |
| News Source: | Pertanika Journal of Social Sciences & Humanities |
| ISSN: | 0128-7680 |
| Volume: | 24 |
| Pages: | 493-506 |
| Appears in Collections: | Journal Content Pages/ Kandungan Halaman Jurnal |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ukmvital_83337+Source01+Source010.PDF | 2.05 MB | Adobe PDF |  View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.