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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.
Abstractsub 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.
Bibtextype article  +
Has author Kangpyo Lee + , Hyunwoo Kim + , Chungsu Jang + , Hyoung Kim-Joo +
Number of citations by publication 0  +
Number of references by publication 0  +
Peer-reviewed Yes  +
Published in Journal of KISS: Computing Practices +
Title FolksoViz: A subsumption-based folksonomy visualization using the wikipedia +
Type journal article  +
Volume 14  +
Year 2008 +
Creation dateThis property is a special property in this wiki. 20 September 2014 16:45:47  +
Categories Publications without keywords parameter  + , Publications without language parameter  + , Publications without license parameter  + , Publications without DOI parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Journal articles  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 20 September 2014 16:45:47  +
DateThis property is a special property in this wiki. 2008  +
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FolksoViz: A subsumption-based folksonomy visualization using the wikipedia + Title
 

 

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