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

Abstract : OMNIA is an on-going project that aims to retrieve images accompanied with multilingual texts. In this paper, we pro- pose a generic method (language and do- main independent) to extract conceptual information from such texts and sponta- neous user requests. First, texts are la- belled with interlingual annotation, then a generic extractor taking a domain on- tology as a parameter extract relevant conceptual information. Implementation is also presented with a first experiment and preliminary results.
Type de document :
Communication dans un congrès
CLIA workshop, COLING 2010, 2010, Beijing, China. pp.x-x, 2010
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00959171
Contributeur : Didier Schwab <>
Soumis le : vendredi 14 mars 2014 - 09:18:48
Dernière modification le : jeudi 11 octobre 2018 - 08:48:03

Identifiants

  • HAL Id : hal-00959171, version 1

Citation

Achille Falaise, David Rouquet, Didier Schwab, Hervé Blanchon, Christian Boitet. Ontology driven content extraction using interlingual annotation of texts in the OMNIA project. CLIA workshop, COLING 2010, 2010, Beijing, China. pp.x-x, 2010. 〈hal-00959171〉

Partager

Métriques

Consultations de la notice

116