Folksoviz: a Semantic Relation-Based Folksonomy Visualization Using the Wikipedia Corpus

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Folksoviz: a Semantic Relation-Based Folksonomy Visualization Using the Wikipedia Corpus - scientific work related to Wikipedia quality published in 2009, written by Kang-Pyo Lee, Hyun Woo Kim, Hyopil Shin and Hyoung-Joo Kim.

Overview

Tagging is one of the most popular services in Web 2.0 and folksonomy is a representation of collaborative tagging. Tag cloud has been the one and only visualization of the folksonomy. The tag cloud, however, provides no information about the relations between tags. In this paper, targeting del.icio.us tag data, authors propose a technique, Folk-soViz, for automatically deriving semantic relations between tags and for visualizing the tags and their relations. In order to find the equivalence, subsumption, and similarity relations, authors apply various rules and models based on the Wikipedia corpus. The derived relations are visualized ef-fectively. The experiment shows that the FolksoViz manag-es to find the correct semantic relations with high accuracy.

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