FolksoViz: A Subsumption-based Folksonomy Visualization Using Wikipedia Texts
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.
Folksonomy Collaborative Tagging Subsumption Visualization Wikipedia Web 2.0
Kangpyo Lee Hyunwoo Kim Chungsu Jang Hyoung-Joo Kim
School of Computer Science & Engineering Seoul National University Seoul, Korea
国际会议
第十七届国际万维网大会(the 17th International World Wide Web Conference)(WWW08)
北京
英文
2008-04-21（万方平台首次上网日期，不代表论文的发表时间）