Abstract
This paper presents and discusses the results of the second phase of the development of TIIARA (Taxonomy for Image Indexing and RetrievAl), a bilingual taxonomy dedicated to image indexing and retrieval. TIIARA offers indexers and image searchers innovative and coherent access points for ordinary images. Initially developed in French and English, the taxonomy has been subsequently translated in 8 languages. The preliminary steps of the elaboration of the bilingual structure are briefly described. The process used in the translation of TIIARA in Arabic language is presented, as well as the main difficulties encountered by the translator. Adding more languages in TIIARA constitutes an added value for a controlled vocabulary meant to be used by image searchers who are often limited by their lack of knowledge of multiple languages.
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CITATION STYLE
Khashman, N., Ménard, E., & Dorey, J. (2016). TIIARA: A language tool for bridging the language gap. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9747, pp. 386–395). Springer Verlag. https://doi.org/10.1007/978-3-319-40355-7_37
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