Ontology learning from user tagging for tag recommendation making
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45499.pdf. |
Description
Recently, user tagging systems have grown in popularity on the web. The tagging process is quite simple for ordinary users, which contributes to its popularity. However, free vocabulary has lack of standardization and semantic ambiguity. It is possible to capture the semantics from user tagging into some form of ontology, but the application of the resulted ontology for recommendation making has not been that flourishing. In this paper we discuss our approach to learn domain ontology from user tagging information and apply the extracted tag ontology in a pilot tag recommendation experiment. The initial result shows that by using the tag ontology to re-rank the recommended tags, the accuracy of the tag recommendation can be improved.
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| ID Code: | 45682 | ||||
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| Item Type: | Chapter in Book, Report or Conference volume (Conference contribution) | ||||
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| Measurements or Duration: | 4 pages | ||||
| Keywords: | User tagging, ontology learning, tag recommendation | ||||
| DOI: | 10.1109/WI-IAT.2011.163 | ||||
| ISBN: | 978-1-4577-1373-6 | ||||
| Pure ID: | 32024319 | ||||
| Divisions: | Past > QUT Faculties & Divisions > Faculty of Science and Technology Past > QUT Faculties & Divisions > Science & Engineering Faculty |
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| Copyright Owner: | Copyright 2011 IEEE | ||||
| Copyright Statement: | Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE | ||||
| Deposited On: | 04 Sep 2011 23:47 | ||||
| Last Modified: | 01 Aug 2024 21:53 |
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