본문 바로가기
  • Home

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

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2013, 18(10), pp.149-161
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Suk-Hyung Hwang 1

1선문대학교

Accredited

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.

Citation status

* References for papers published after 2022 are currently being built.