Ontology-aware systems in AI-ED research

Abstract : 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.
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https://telearn.archives-ouvertes.fr/hal-00190662
Contributor : Jerome Zeiliger <>
Submitted on : Friday, November 23, 2007 - 8:55:11 AM
Last modification on : Wednesday, September 18, 2019 - 1:29:48 AM
Long-term archiving on : Monday, April 12, 2010 - 4:38:20 AM

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

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