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Web Search Disambiguation by Collaborative Tagging

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
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, United Kingdom. pp. 48-61 .

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.

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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, United Kingdom, 2008-03-30
Keywords: search, collaborative tagging, disambiguation
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 265393
URI: https://eprints.soton.ac.uk/id/eprint/265393
PURE UUID: 1bb5ef50-acc9-4295-88ac-e7e9692b85c2
ORCID for Nicholas Gibbins: ORCID iD orcid.org/0000-0002-6140-9956

Catalogue record

Date deposited: 04 Apr 2008 10:37
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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