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2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
Ontology Learning from User Tagging for Tag Recommendation Making
Lyon, France
August 22-August 27
ISBN: 978-0-7695-4513-4
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.
Index Terms:
collaborative tagging, ontology learning, tag recommendation
Citation:
Endang Djuana, Yue Xu, Yuefeng Li, Audun Jøsang, "Ontology Learning from User Tagging for Tag Recommendation Making," wi-iat, vol. 3, pp.310-313, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2011
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