Study on the influence of vocabularies used for image indexing in a multilingual retrieval environment

Abstract

The Internet constitutes a vast universe of knowledge and human culture, allowing the dissemination of ideas and information without borders. The Web also became an important media for the diffusion of multilingual resources. Linguistic differences still form a major obstacle to scientific, cultural, and educational exchange. With the ever increasing size of the Web and the availability of more and more documents in various languages, this problem becomes all the more pervasive. Besides this linguistic diversity, a multitude of databases and collections now contain documents in various formats, which may also adversely affect the retrieval process. This paper describes a research project aiming to verify the existing relations between two indexing approaches: (1) traditional image indexing recommending the use of controlled vocabularies or (2) free image indexing using uncontrolled vocabulary, and their respective performance for image retrieval, in a multilingual context. This research compares image retrieval within two contexts: a monolingual context where the language of the query is the same as the indexing language; and a multilingual context where the language of the query is different from the indexing language. This research will indicate if one of these indexing approaches surpasses the other, in terms of effectiveness, efficiency, and satisfaction of the image searchers.