Applications of a Collaborative Learning Ontology
MICAI '02 Proceedings of the Second Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
A Comparison of (Semantic) Markup Languages
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference
Ontological Engineering
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This paper describes how ontologies can be used to model, validate and execute IMS Learning Design. Concretely, we propose an IMS LD ontology, which covers both IMS LD level A and level B, and explain how it was developed and then used during the IMS LD document life cycle. The main contribution can be summarized as follows: (1) the formalization of the implicit knowledge found on the IMS LD specification in terms of formal axioms, (2) their use to validate IMS LD documents, and (3) and a learning design translator to translate representations between XML Schema and F-Logic.