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FolksoViz: a subsumption-based folksonomy visualization using the Wikipedia
Abstract Folksonomy, which is created through the cFolksonomy, which is created through the collaborative tagging from many users, is one of the driving factors of Web 2.0. Tags are said to be the web metadata describing a web document. If we are able to find the semantic subsumption relationships between tags created through the collaborative tagging, it can help users understand the metadata more intuitively. In this paper, targeting del.icio.us tag data, we propose a method named {FolksoViz} for deriving subsumption relationships between tags by using Wikipedia texts. For this purpose, we propose a statistical model for deriving subsumption relationships based on the frequency of each tag on the Wikipedia texts, and {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 our proposed algorithm managed to find the correct subsumption pairs with high accuracy.rect subsumption pairs with high accuracy.
Added by wikilit team Added on initial load  +
Collected data time dimension Cross-sectional  +
Conclusion FolksoViz managed to display the semantic FolksoViz managed to display the semantic relations between tags in an effective and intuitiveway to accomplish the folksonomy visualization. We fully exploited the characteristics of Web 2.0: the collaborative tagging in del.icio.us and the collective intelligence in the Wikipedia. collective intelligence in the Wikipedia.
Data source Experiment responses  + , Wikipedia pages  +
Doi 10.1145/1367497.1367672 +
Google scholar url http://scholar.google.com/scholar?ie=UTF-8&q=%22FolksoViz%3A%2Ba%2Bsubsumption-based%2Bfolksonomy%2Bvisualization%2Busing%2Bthe%2BWikipedia%22  +
Has author Kangpyo Lee + , Hyunwoo Kim + , Chungsu Jang + , Hyoung-Joo Kim +
Has domain Computer science +
Has topic Other information retrieval topics +
Issue 4  +
Month June  +
Pages 401-11  +
Peer reviewed Yes  +
Publication type Journal article  +
Published in Journal of KISS: Computing Practices +
Research design Experiment  +
Research questions In this paper, we propose a technique, called FOlksoViz, for automatically deriving the semantic relations between tags and for visualizing the derived relations on the screen.
Revid 10,777  +
Theories Undetermined
Theory type Design and action  +
Title FolksoViz: a subsumption-based folksonomy visualization using the Wikipedia
Unit of analysis Article  +
Url http://dl.acm.org/citation.cfm?id=1367672  +
Volume 14  +
Wikipedia coverage Sample data  +
Wikipedia data extraction Live Wikipedia  +
Wikipedia language Not specified  +
Wikipedia page type Article  +
Year 2008  +
Creation dateThis property is a special property in this wiki. 15 March 2012 20:28:23  +
Categories Other information retrieval topics  + , Computer science  + , Publications with missing comments  + , Publications  +
Modification dateThis property is a special property in this wiki. 30 January 2014 20:27:46  +
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