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Ontology-based query recommendation as a support to image retrieval
Author(s)
Date Issued
2008-08
Date Available
2009-07-09T16:29:06Z
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.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Subject – LCSH
Ontologies (Information retrieval)
Information storage and retrieval systems--Photographs
Stock photography--Technological innovations
Language
English
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
This item is made available under a Creative Commons License
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