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

Abstract

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).

Citation

Neugebauer, T. and Menard, E. (2015), "SINCERITY: the making of a search engine for images indexed with a bilingual taxonomy", OCLC Systems & Services: International digital library perspectives, Vol. 31 No. 3, pp. 112-124. https://doi.org/10.1108/OCLC-03-2014-0020