Corpus-based thesaurus construction for image retrieval in specialist domains

Authors:
Khurshid Ahmad;Mariam Tariq;Bogdan Vrusias;Chris Handy
Affiliations:
Department of Computing, School of Electronics and Physical Sciences, University of Surrey, Guildford, United Kingdom;Department of Computing, School of Electronics and Physical Sciences, University of Surrey, Guildford, United Kingdom;Department of Computing, School of Electronics and Physical Sciences, University of Surrey, Guildford, United Kingdom;Department of Computing, School of Electronics and Physical Sciences, University of Surrey, Guildford, United Kingdom
Venue:
ECIR'03 Proceedings of the 25th European conference on IR research
Year:
2003

Citing 5
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Abstract

This paper explores the use of texts that are related to an image collection, also known as collateral texts, for building thesauri in specialist domains to aid in image retrieval. Corpus linguistic and information extraction methods are used for identifying key terms and semantic relationships in specialist texts that may be used for query expansion purposes. The specialist domain context imposes certain constraints on the language used in the texts, which makes the texts computationally more tractable.