Web Search Disambiguation by Collaborative Tagging
Web Search Disambiguation by Collaborative Tagging
Existing Web search engines such as Google mostly adopt a keyword-based approach, which matches the keywords in a query submitted by a user with the keywords characterising the indexed Web documents, and is quite successful in general in helping users locate useful documents. However, when the keyword submitted by the user is ambiguous, the search result usually consists of documents related to various meanings of the keyword, in which probably only one of them is interesting to the user. In this paper we attempt to provide a solution to this problem by using the semantics extracted from collaborative tagging in the social bookmarking site del.icio.us. For an ambiguous word, we extract sets of tags which are related to it in different contexts by performing a community-discovery algorithm on folksonomy networks. The sets of tags are then used to disambiguate search results returned by del.icio.us and Google. Experimental results show that our method is able to disambiguate the documents returned by the two systems with high precision.
search, collaborative tagging, disambiguation
48-61
Au Yeung, Ching Man
c83390b1-d3a1-459e-8f09-01c81576e066
Gibbins, Nicholas
98efd447-4aa7-411c-86d1-955a612eceac
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
30 March 2008
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
(2008)
Web Search Disambiguation by Collaborative Tagging.
Workshop on Exploring Semantic Annotations in Information Retrieval at ECIR'08, Glasgow, United Kingdom.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Existing Web search engines such as Google mostly adopt a keyword-based approach, which matches the keywords in a query submitted by a user with the keywords characterising the indexed Web documents, and is quite successful in general in helping users locate useful documents. However, when the keyword submitted by the user is ambiguous, the search result usually consists of documents related to various meanings of the keyword, in which probably only one of them is interesting to the user. In this paper we attempt to provide a solution to this problem by using the semantics extracted from collaborative tagging in the social bookmarking site del.icio.us. For an ambiguous word, we extract sets of tags which are related to it in different contexts by performing a community-discovery algorithm on folksonomy networks. The sets of tags are then used to disambiguate search results returned by del.icio.us and Google. Experimental results show that our method is able to disambiguate the documents returned by the two systems with high precision.
Text
ecir2008_paper.pdf
- Other
Text
esair08_presentation.pdf
- Other
More information
Published date: 30 March 2008
Additional Information:
Event Dates: 30 March 2008
Venue - Dates:
Workshop on Exploring Semantic Annotations in Information Retrieval at ECIR'08, Glasgow, United Kingdom, 2008-03-30
Keywords:
search, collaborative tagging, disambiguation
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 265393
URI: http://eprints.soton.ac.uk/id/eprint/265393
PURE UUID: 1bb5ef50-acc9-4295-88ac-e7e9692b85c2
Catalogue record
Date deposited: 04 Apr 2008 10:37
Last modified: 15 Mar 2024 02:59
Export record
Contributors
Author:
Ching Man Au Yeung
Author:
Nicholas Gibbins
Author:
Nigel Shadbolt
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