DAFOE: an Ontology Building Platform From Text or Thesauri

Sylvie Szulman (1) , Jean Charlet (2) , Nathalie Aussenac-Gilles (3, 4) , Adeline Nazarenko (1) , Eric Sardet (5) , Valery Teguiak (5)

1 LIPN - Laboratoire d'Informatique de Paris-Nord
2 CRC (UMR_S 872) - Centre de Recherche des Cordeliers
3 IRIT-MELODI - MEthodes et ingénierie des Langues, des Ontologies et du DIscours
4 CNRS - Centre National de la Recherche Scientifique
5 LISI [Poitiers] - Laboratoire d'informatique scientifique et industrielle [EA 1232]

This paper describes a new platform for building ontologies using many entries (texts, terminologies, thesauri or database). However, They may be build from scratch and bound with texts afterwards. After a description of the used data model, a meta-modelisation architecture is presented as well as the database implementation, which allows to manage large ontologies with large corpora.

Mots clés: NLP; Ontology-Based Database; Ontology; Platform

Domaines: Intelligence artificielle [cs.AI]

Sylvie Szulman, Jean Charlet, Nathalie Aussenac-Gilles, Adeline Nazarenko, Eric Sardet, et al.. DAFOE: an Ontology Building Platform From Text or Thesauri. International Conference on Knowledge Engineering and Ontology Development (KEOD 2009), Oct 2009, Madeira, Portugal. , pp.1-4, 2009. ⟨hal-00525527⟩