Difference between revisions of "Folksoviz: a Subsumption-Based Folksonomy Visualization Using Wikipedia Texts"
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| + | | title = Folksoviz: a Subsumption-Based Folksonomy Visualization Using Wikipedia Texts | ||
| + | | date = 2008 | ||
| + | | authors = [[Kang-Pyo Lee]]<br />[[Hyun Woo Kim]]<br />[[Chungsu Jang]]<br />[[Hyoung-Joo Kim]] | ||
| + | | doi = 10.1145/1367497.1367672 | ||
| + | | link = https://dl.acm.org/citation.cfm?doid=1367497.1367672 | ||
| + | }} | ||
'''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]]. | '''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 == | == 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. | 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. | ||
Revision as of 20:47, 4 April 2020
Authors | Kang-Pyo Lee Hyun Woo Kim Chungsu Jang Hyoung-Joo Kim |
|---|---|
Publication date | 2008 |
DOI | 10.1145/1367497.1367672 |
Links | Original |
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.
