• Title/Summary/Keyword: Bibsonomy

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Construction of Hierarchical Classification of User Tags using WordNet-based Formal Concept Analysis (WordNet기반의 형식개념분석기법을 이용한 사용자태그 분류체계의 구축)

  • Hwang, Suk-Hyung
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.10
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    • pp.149-161
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    • 2013
  • 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.

Comparative Analysis of Index Terms and Social Tags: Medical Subject Headings vs. BibSonomy and Delicious

  • Lee, Danielle H.
    • Journal of the Korean Society for Library and Information Science
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    • v.49 no.2
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    • pp.291-311
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    • 2015
  • This paper demonstrates the comparative analysis of the similarity and difference between Medical Subject Headings (MeSH) and social tags. Both types of metadata have the same purpose - that is, succinctly abstracting content of a given document - but are created from heterogeneous viewpoints. The former MeSH terms show the aspects of publication related professionals, whereas the latter social tags are from the perspectives of general readers. When both types of metadata are assigned to the same publications, do they consist of different nomenclatures reflecting the heterogeneous viewpoints or are they similar, since both metadata types describe the same publications? Social tags are also compared with family terms of MeSH terms in the given MeSH hierarchy, so as to understand the specificity of social tags, related to MeSH terms. Lastly, given the fact that readers assign social tags in casual ways without any restricted vocabulary, we tested how many social tags contain consumer health terms, which are familiar to laypeople. Through these comparisons, we ultimately aim to examine how much the highly controlled publication index reflects general readers' cognitive understandings and stress the necessity of general readers' involvement in the publication indexing process.