Folksoviz: a Subsumption-Based Folksonomy Visualization Using Wikipedia Texts

From Wikipedia Quality
Revision as of 23:05, 29 August 2019 by Natalie (talk | contribs) (Folksoviz: a Subsumption-Based Folksonomy Visualization Using Wikipedia Texts - creating a new article)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search

Folksoviz: a Subsumption-Based Folksonomy Visualization Using Wikipedia Texts - scientific work related to Wikipedia quality published in 2008, written by Kang-Pyo Lee, Hyun Woo Kim, Chungsu Jang and Hyoung-Joo Kim.

Overview

In this paper, targeting del.icio.us tag data, authors propose a method, FolksoViz, for deriving subsumption relationships between tags by using Wikipedia texts, and visualizing a folksonomy. To fulfill this method, authors 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.