FolksoViz: A subsumption-based folksonomy visualization using wikipedia texts

Lee Kangpyo, Kim Hyunwoo, Jang Chungsu, Hyoung Joo Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

In this paper, targeting del.icio.us tag data, we propose a method, FolksoViz, for deriving subsumption relationships between tags by using Wikipedia texts, and visualizing a folksonomy. To fulfill this method, we propose a statistical model for deriving subsumption relationships based on the frequency of each tag on the Wikipedia texts, as well as the TSD (Tag Sense Disambiguation) method for mapping each tag to a corresponding Wikipedia text. The derived subsumption pairs are visualized effectively on the screen. The experiment shows that the FolksoViz manages to find the correct subsumption pairs with high accuracy.

Original languageEnglish
Title of host publicationProceeding of the 17th International Conference on World Wide Web 2008, WWW'08
Pages1093-1094
Number of pages2
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event17th International Conference on World Wide Web 2008, WWW'08 - Beijing, China
Duration: 2008 Apr 212008 Apr 25

Publication series

NameProceeding of the 17th International Conference on World Wide Web 2008, WWW'08

Conference

Conference17th International Conference on World Wide Web 2008, WWW'08
Country/TerritoryChina
CityBeijing
Period08/4/2108/4/25

Keywords

  • Collaborative tagging
  • Folksonomy
  • Subsumption
  • Visualization
  • Web 2.0
  • Wikipedia

ASJC Scopus subject areas

  • Computer Networks and Communications

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