SINCERITY: the making of a search engine for images indexed with a bilingual taxonomy

Purpose - This paper aims to present the third stage of a research project that aims to develop a bilingual interface for the retrieval of digital images. The requirements and implementation of the search engine are described. Image search engines attempt to give access to a range of online images a...

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Bibliographic Details
Published inOCLC systems & services Vol. 31; no. 3; p. 112
Main Authors Neugebauer, Tomasz, Menard, Elaine
Format Journal Article
LanguageEnglish
Published Bradford Emerald Group Publishing Limited 10.08.2015
Subjects
Bilingualism
Design
Digital curation
Digital libraries
Image retrieval
Information retrieval
Metadata
Multimedia
Museums
Open source software
Queries
Search engines
Software reviews
Studies
Taxonomy
User behavior
User interface
Vocabularies & taxonomies
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Summary:Purpose - This paper aims to present the third stage of a research project that aims to develop a bilingual interface for the retrieval of digital images. The requirements and implementation of the search engine are described. Image search engines attempt to give access to a range of online images available on the web. Design/methodology/approach - The strategy of using open-source software components as much as possible was chosen for the advantages of this approach: low initial cost and accessibility to evaluate and develop enhancements independently and driven by research objectives rather than financial viability. Findings - Open-source software components can be used to develop the interface. The implementation of the image search engine and its indexes uses: Apache Solr, AJAX-Solr, jsTree and jQuery. Microsoft Translator web service was integrated into the interface to provide the optional user query translation. Originality/value - The search interface is intended to be an innovative tool for image searchers who are looking for digital images. The search interface gives the image searchers the opportunity to easily access a variety of visual resources and facilitates searching for images in two different languages (English and French).
ISSN:2059-5816
2059-5824
DOI:10.1108/OCLC-03-2014-0020