André Behr

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This paper proposes ontologies for the LOM, OBAA, and IMS Access-ForAll learning object metadata standards. Those standards define the hierarchical structure and the axioms for the proposed ontologies. The OWL 2 was used to describe those ontologies. The lowest granularity as possible among the individuals that compose a learning object is aimed. The(More)
This paper proposes an editor for Learning Object Metadata compatible with the Semantic Web. This tool uses two base ontologies, OBAA and VideoAula to provide the semantics to describe learning objects. These ontolo-gies are the core for a tool to verify the consistency of the user-input data and realize inferences about the described information.(More)
This work explores the use of Semantic Web techniques as an alternative to traditional educational recommender systems. The proposed model explores the use of Learning Object metadata information and Student academic profile described by knowledge ontologies in order to provide a knowledge structure. This knowlege is stored in an OWL on-tology providing(More)
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