Ontology driven content extraction using interlingual annotation of texts in the OMNIA project

OMNIA is an on-going project that aims to retrieve images accompanied with multilingual texts. In this paper, we propose a generic method (language and domain independent) to extract conceptual information from such texts and spontaneous user requests. First, texts are labelled with interlingual annotation, then a generic extractor taking a domain ontology as a parameter extract relevant conceptual information. Implementation is also presented with a first experiment and preliminary results.

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