An Ontology for the OBAA Metadata Standard

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 results present the possibility to describe learning objects as individuals according the OBAA standard, verify its consistence, use the inference process.

2012