Mutual Contextualization in Tripartite Graphs of Folksonomies

Au Yeung, C. m., Gibbins, N. and Shadbolt, N. (2007) Mutual Contextualization in Tripartite Graphs of Folksonomies. In: The 6th International Semantic Web Conference, 11-15 November 2007, Busan, South Korea. pp. 966-970.

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Abstract

The use of tags to describe Web resources in a collaborative manner has experienced rising popularity among Web users in recent years. The product of such activity is given the name folksonomy, which can be considered as a scheme of organizing information in the users’ own
way. This research work attempts to analyze tripartite graphs – graphs involving users, tags and resources – of folksonomies and discuss how these elements acquire their semantics through their associations with other elements, a process we call mutual contextualization. By studying such process, we try to identify solutions to problems such as tag disambiguation, retrieving documents of similar topics and discovering communities of users. This paper describes the basis of the research work, mentions work done so far and outlines future plans.

Item Type:	Conference or Workshop Item
Creator/Authors:	Ching-man Au Yeung Nicholas Gibbins Nigel Shadbolt
Keywords:	folksonomy, collaborative tagging, contextualization
Research Group:	Current ECS Groups > Web and Internet Science Old ECS Groups > Intelligence, Agents, Multimedia
Date:	2007
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Performance Indicator:	EZ~03~03~04
Citations:
Downloads (2010):	29
ID Code:	14696
Last Modified:	23 Sep 2011 10:35
Deposited On:	18 Oct 2007 by Au Yeung, Ching Man

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