Contextualising Tags in Collaborative Tagging Systems
Contextualising Tags in Collaborative Tagging Systems
Collaborative tagging systems are now popular tools for organising and sharing information on the Web. While collaborative tagging offers many advantages over the use of controlled vocabularies, they also suffer from problems such as the existence of polysemous tags. We investigate how the different contexts in which individual tags are used can be revealed automatically without consulting any external resources. We consider several different network representations of tags and documents, and apply a graph clustering algorithm on these networks to obtain groups of tags or documents corresponding to the different meanings of an ambiguous tag. Our experiments show that networks which explicitly take the social context into account are more likely to give a better picture of the semantics of a tag.
collaborative tagging, folksonomy, context, meaning, clustering
Au Yeung, Ching Man
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Gibbins, Nicholas
98efd447-4aa7-411c-86d1-955a612eceac
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
29 June 2009
Au Yeung, Ching Man
c83390b1-d3a1-459e-8f09-01c81576e066
Gibbins, Nicholas
98efd447-4aa7-411c-86d1-955a612eceac
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Au Yeung, Ching Man, Gibbins, Nicholas and Shadbolt, Nigel
(2009)
Contextualising Tags in Collaborative Tagging Systems.
20th ACM Conference on Hypertext and Hypermedia, Torino, Italy.
29 Jun - 01 Jul 2009.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Collaborative tagging systems are now popular tools for organising and sharing information on the Web. While collaborative tagging offers many advantages over the use of controlled vocabularies, they also suffer from problems such as the existence of polysemous tags. We investigate how the different contexts in which individual tags are used can be revealed automatically without consulting any external resources. We consider several different network representations of tags and documents, and apply a graph clustering algorithm on these networks to obtain groups of tags or documents corresponding to the different meanings of an ambiguous tag. Our experiments show that networks which explicitly take the social context into account are more likely to give a better picture of the semantics of a tag.
Text
acmht09-tagcontext.pdf
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Published date: 29 June 2009
Additional Information:
Event Dates: 29 June - 1 July, 2009
Venue - Dates:
20th ACM Conference on Hypertext and Hypermedia, Torino, Italy, 2009-06-29 - 2009-07-01
Keywords:
collaborative tagging, folksonomy, context, meaning, clustering
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 267320
URI: http://eprints.soton.ac.uk/id/eprint/267320
PURE UUID: 5ab8b6e7-553c-4381-ba8a-a87cc296a700
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Date deposited: 01 May 2009 22:34
Last modified: 15 Mar 2024 02:59
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Contributors
Author:
Ching Man Au Yeung
Author:
Nicholas Gibbins
Author:
Nigel Shadbolt
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