The University of Southampton
University of Southampton Institutional Repository

Contextualising Tags in Collaborative Tagging Systems

Au Yeung, Ching Man, Gibbins, Nicholas and Shadbolt, Nigel (2009) Contextualising Tags in Collaborative Tagging Systems At 20th ACM Conference on Hypertext and Hypermedia, Italy. 29 Jun - 01 Jul 2009.

Record type: Conference or Workshop Item (Paper)


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.

PDF acmht09-tagcontext.pdf - Version of Record
Download (386kB)

More information

Published date: 29 June 2009
Additional Information: Event Dates: 29 June - 1 July, 2009
Venue - Dates: 20th ACM Conference on Hypertext and Hypermedia, Italy, 2009-06-29 - 2009-07-01
Keywords: collaborative tagging, folksonomy, context, meaning, clustering
Organisations: Web & Internet Science


Local EPrints ID: 267320
PURE UUID: 5ab8b6e7-553c-4381-ba8a-a87cc296a700
ORCID for Nicholas Gibbins: ORCID iD

Catalogue record

Date deposited: 01 May 2009 22:34
Last modified: 18 Jul 2017 07:05

Export record


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

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.