Ontology-based query recommendation as a support to image retrieval

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Title: Ontology-based query recommendation as a support to image retrieval
Authors: Murdoch, Olga
Coyle, Lorcan
Dobson, Simon
Permanent link: http://hdl.handle.net/10197/1242
Date: Aug-2008
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.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Subject LCSH: Ontologies (Information retrieval)
Information storage and retrieval systems--Photographs
Stock photography--Technological innovations
Language: en
Status of Item: Peer reviewed
Conference Details: Paper presented at the 19th Irish conference on Artificial Intelligence and Cognitive Science (AICS) 2008, 27-28 August, 2008, Cork
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

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