Benefits of Natural Language Techniques in Ontology Evaluation : the OOPS! Case

Maria Carmen Suarez-Figueroa (1) , Mouna Kamel (2) , María Poveda-Villalon (1)

1 OEG - Ontology Engineering Group [Madrid]
2 IRIT-MELODI - MEthodes et ingénierie des Langues, des Ontologies et du DIscours

Natural language techniques play an important role in Ontology Engineering. Developing ontologies in a manual fashion is a complex and time consuming process, which implies the participation of domain experts and ontology engineers to build and evaluate them. Natural language techniques traditionally help to (semi)automatically build ontologies and to populate them. However, the general trends for evaluating ontologies are mainly expert reviewing, evaluating quality dimensions and criteria, and evaluating against existing ontologies and set of common errors. That is, the use of natural language techniques in ontology evaluation is not widely spread. Thus, in this paper we aim at the use of natural language techniques during the ontology evaluation process. In particular, we propose a first attempt towards a language-based enhancement of the pitfall detection process within the ontology evaluation tool OOPS!.

Mots clés: Natural language; Ontology evaluation; Pitfall detection process

Domaines: Intelligence artificielle [cs.AI]; Apprentissage [cs.LG]; Logique en informatique [cs.LO]; Informatique et langage [cs.CL]

Maria Carmen Suarez-Figueroa, Mouna Kamel, María Poveda-Villalon. Benefits of Natural Language Techniques in Ontology Evaluation : the OOPS! Case. Conférence Internationale sur la Terminologie et l'Intelligence Artificielle (TIA), Oct 2013, Paris, France. pp. 107-110. ⟨hal-01152652⟩