DAFOE: A Platform for Building Ontologies from Texts

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

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

Although text-based ontology engineering gained much popularity in the last 10 years, very few ontology engineering platforms exploit the full potential of the connection between texts and ontologies. We propose DAFOE, a new platform for building ontologies with a terminological component using diff erent types of linguistic entries (text corpora, results of natural language processing tools, terminologies or thesauri). DAFOE supports knowledge structuring and conceptual modelling from these linguistic entries as well as ontology formalization. DAFOE outputs models with two main original features: an ontology articulated with a lexical component and a connection with the text or linguistic entry that motivated their defi nition.

Mots clés: Ontology Building; Ontology Editor; Meta-Modelization; Data Mode

Domaines: Intelligence artificielle [cs.AI]

Sylvie Szulman, Nathalie Aussenac-Gilles, Adeline Nazarenko, Henri V. Teguiak, Eric Sardet, et al.. DAFOE: A Platform for Building Ontologies from Texts. Johanna Völker; Oscar Corcho. 17th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2010), Oct 2010, Lisbon, Portugal. CEUR-WS.org, Proceedings of the EKAW2010 : Poster and Demo Track, 2010. ⟨hal-00718092⟩