Ontology-based query recommendation as a support to image retrieval

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dc.contributor.author Murdoch, Olga
dc.contributor.author Coyle, Lorcan
dc.contributor.author Dobson, Simon
dc.date.accessioned 2009-07-09T16:29:06Z
dc.date.available 2009-07-09T16:29:06Z
dc.date.issued 2008-08
dc.identifier.uri http://hdl.handle.net/10197/1242
dc.description Paper presented at the 19th Irish conference on Artificial Intelligence and Cognitive Science (AICS) 2008, 27-28 August, 2008, Cork en
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
dc.description.sponsorship Science Foundation Ireland en
dc.description.uri Conference details en
dc.description.uri http://www.cs.ucc.ie/aics08/Welcome.html en
dc.format.extent 601308 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.subject.lcsh Ontologies (Information retrieval) en
dc.subject.lcsh Information storage and retrieval systems--Photographs en
dc.subject.lcsh Stock photography--Technological innovations en
dc.title Ontology-based query recommendation as a support to image retrieval en
dc.type Conference Publication en
dc.internal.availability Full text available en
dc.status Peer reviewed en
dc.neeo.contributor Coyle|Lorcan|aut|
dc.neeo.contributor Dobson|Simon|aut|
dc.neeo.contributor Murdoch|Olga|aut|


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