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Ontology-based query recommendation as a support to image retrieval

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Show simple item record Murdoch, Olga Coyle, Lorcan Dobson, Simon 2010-12-20T13:09:35Z 2010-12-20T13:09:35Z 2008
dc.description peer-reviewed
dc.description.abstract Stock photo libraries are the most common means for publishers and advertisers to find images for their media. Searching for the perfect photo can be a time-consuming and frustrating task. This is because searching is often dependent on the descriptors or tags given to each photo by the editors and contributors to the library. The tagging process is subjective, further complicating the search process. We describe an algorithm that uses domain ontologies to improve the interactions with these libraries. Ontologies are used to expand query terms based on users' initial search queries.We present results that demonstrate that the use of ontologies greatly improves users ability to retrieve photos when undertaking a number of search tasks. en_US
dc.description.sponsorship SFI
dc.language.iso en_US en_US
dc.publisher 19th Irish conference on Artificial Intelligence and Cognitive Science (AICS) 2008, 27-28 August, 2008, Cork en_US
dc.subject ontologies en_US
dc.subject information retrieval systems en_US
dc.subject photography
dc.title Ontology-based query recommendation as a support to image retrieval en_US
dc.type Conference item en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.type.restriction none en

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