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Contenu archivé le 2024-04-19

Conceptual Retrieval of Information using Semantic dicTionary in three Languages

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

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Increased availability of on-line text (due to inexpensive mass storage, accurate optical character readers and high-speed networks) leads simultaneously to a demand for an easy and precise access to the multilingual textual databases without: learning any artificial language; knowing textual database semantics, mastering the language of the document's author. The CRISTAL project concerns the designing of a concept-based information retrieval system. Such a system provides access to textual information of newspapers articles by matching the query and the text concepts, rather than by matching words to words. To achieve such a purpose, CRISTAL involves the integration of linguistic methods and information retrieval techniques. Current research is carried out along two development axes: the adaptation of the Conceptual Dictionary for Multilinguality, the development of a concept-based information retrieval environment, which includes an indexing module, a matching module, a dialogue management module and a multilingual 'free' language query interface. The prototype is developed on top of an existing document retrieval system. Results have already been obtained and the following elements are available: the software tool to manage, handle, consult and update the Multilingual Conceptual Dictionary; the analyser processing the query for Italian, French and English; the algorithm to resolve the ambiguity between word senses, based on the topology of the conceptual dictionary, public deliverables reports for the application requirements and for the re-usable components and tools.

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