Using Ontological Engineering to Overcome Common AI-ED Problems

Abstract : This paper discusses long-term prospects of AI-ED research with the aim of giving a clear view of what we need for further promotion of the research from both the AI and ED points of view. An analysis of the current status of AI-ED research is done in the light of intelligence, conceptualization, standardization and theory-awareness. Following this, an 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.
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Riichiro Mizoguchi, Jacqueline Bourdeau. Using Ontological Engineering to Overcome Common AI-ED Problems. Journal of Artificial Intelligence and Education, 2000, 11, pp.107-121. ⟨hal-00190087⟩

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