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Web Search Disambiguation by Collaborative Tagging

Au Yeung, C. M., Gibbins, N. and Shadbolt, N. (2008) Web Search Disambiguation by Collaborative Tagging. In: Workshop on Exploring Semantic Annotations in Information Retrieval at ECIR'08, 30 March 2008, Glasgow, UK. pp. 48-61.

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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.

Item Type:Conference or Workshop Item
Creator/Authors:
Ching Man Au Yeung
Nicholas Gibbins
Nigel Shadbolt
Keywords:search, collaborative tagging, disambiguation
Research Group:Current ECS Groups > Web and Internet Science
Old ECS Groups > Intelligence, Agents, Multimedia
Date:30 March 2008
Information about this record:
Performance Indicator:EZ~03~03~05
Citations:Google Scholar: 6
Downloads (2010):78
ID Code:15393
Last Modified:23 Sep 2011 10:36
Deposited On:04 Apr 2008 10:37 by Au Yeung, Ching Man

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