Ontology-aware systems in AI-ED research

Riichiro Mizoguchi (1) , Jacqueline Bourdeau (2)

1 Institute of Scientific and Industrial Research
2 Centre LICEF - TÉLUQ - Laboratoire d'Informatique Cognitive et d'Environnements de Formation - Téluq, l'université à distance de l'UQAM

This paper discusses long-term perspectives of AI-ED research aiming at giving a clear view of what we need for further promotion of the research from AI and ED point of view. An analysis of the current status of AI-ED research is done in the light of intelligence, conceptualization, standardization and theory-awareness. Then, ontology-based architecture with appropriate ontologies is proposed. Ontological engineering of IS/ID is next discussed followed by a road map towards an ontology-aware authoring system. Heuristic design patterns and XML-based documentation are also discussed.

Keywords: ontological engineering; ontology-aware system

Domains: Technology for Human Learning

Riichiro Mizoguchi, Jacqueline Bourdeau. Ontology-aware systems in AI-ED research. 1999. ⟨hal-00190662⟩