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http://dx.doi.org/10.9708/jksci.2013.18.10.149

Construction of Hierarchical Classification of User Tags using WordNet-based Formal Concept Analysis  

Hwang, Suk-Hyung (Dept. of Computer Science and Engineering, SunMoon University)
Publication Information
Journal of the Korea Society of Computer and Information / v.18, no.10, 2013 , pp. 149-161 More about this Journal
Abstract
In this paper, we propose a novel approach to construction of classification hierarchies for user tags of folksonomies, using WordNet-based Formal Concept Analysis tool, called TagLighter, which is developed on this research. Finally, to give evidence of the usefulness of this approach in practice, we describe some experiments on user tag data of Bibsonomy.org site. The classification hierarchies of user tags constructed by our approach allow us to gain a better and further understanding and insight in tagged data during information retrieval and data analysis on the folksonomy-based systems. We expect that the proposed approach can be used in the fields of web data mining for folksonomy-based web services, social networking systems and semantic web applications.
Keywords
Folksonomy; User Tag; WordNet; Formal Concept Analysis; Classification;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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