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Tag Meaning Disambiguation through Analysis of Tripartite Structure of Folksonomies

Tag Meaning Disambiguation through Analysis of Tripartite Structure of Folksonomies
Tag Meaning Disambiguation through Analysis of Tripartite Structure of Folksonomies
Collaborative tagging systems are becoming very popular recently. Web users use freely-chosen tags to describe shared resources, resulting in a folksonomy. One problem of folksonomies is that tags which appear in the same form may carry multiple meanings and represent different concepts. As this kind of tags are ambiguous, the precisions in both description and retrieval of the shared resources are reduced. We attempt to develop effective methods to disambiguate tags by studying the tripartite structure of folksonomies. This paper describes the network analysis techniques that we employ to discover clusters of nodes in networks and the algorithm for tag disambiguation. Experiments show that the method is very effective in performing the task.
folksonomies, collaborative tagging, disambiguation
3-6
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
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 (2007) Tag Meaning Disambiguation through Analysis of Tripartite Structure of Folksonomies. The 2007 IEEE / WIC / ACM International Conference on Intelligence Agent Technology - Workshops, United States. 02 - 05 Nov 2007. pp. 3-6 .

Record type: Conference or Workshop Item (Other)

Abstract

Collaborative tagging systems are becoming very popular recently. Web users use freely-chosen tags to describe shared resources, resulting in a folksonomy. One problem of folksonomies is that tags which appear in the same form may carry multiple meanings and represent different concepts. As this kind of tags are ambiguous, the precisions in both description and retrieval of the shared resources are reduced. We attempt to develop effective methods to disambiguate tags by studying the tripartite structure of folksonomies. This paper describes the network analysis techniques that we employ to discover clusters of nodes in networks and the algorithm for tag disambiguation. Experiments show that the method is very effective in performing the task.

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More information

Published date: 2007
Additional Information: Event Dates: 2-5 November
Venue - Dates: The 2007 IEEE / WIC / ACM International Conference on Intelligence Agent Technology - Workshops, United States, 2007-11-02 - 2007-11-05
Keywords: folksonomies, collaborative tagging, disambiguation
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 264762
URI: https://eprints.soton.ac.uk/id/eprint/264762
PURE UUID: e0cb5e2f-dd34-40a7-8f27-edf90a112e8c
ORCID for Nicholas Gibbins: ORCID iD orcid.org/0000-0002-6140-9956

Catalogue record

Date deposited: 18 Nov 2007 17:52
Last modified: 06 Jun 2018 12:55

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Contributors

Author: Ching Man Au Yeung
Author: Nicholas Gibbins ORCID iD
Author: Nigel Shadbolt

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