Une archive numérique francophone des articles de recherche en Traitement Automatique de la Langue.

Ontologies for Information Retrieval

Amalia Todiraşcu, François Rousselot

Abstract : The paper presents a system for querying (in natural language) a set of text documents from a limited domain. The domain knowledge, represented in description logics (DL), is used for filtering the documents returned as answer and it is extended dynamically (when new concepts are identified in the texts), as result of DL inference mechanisms. The conceptual hierarchy is built semi-automatically from the texts. Concept instances are identified using shallow natural language parsing techniques.

Keywords : dynamically modified ontologies, description logics, NLP for IR systems