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This paper describes how the Astronomy case study is modelled, created and executed, using a IMS LD ontology. The ontology was aimed at overcoming the expressiveness limitations of the IMS LD XML Schema by means of a taxonomy of concepts and a set of formally defined axioms. With regard to the authoring (creation) stage, the ontology has been used to enable the automatic validation of IMS LD documents in WebLD, a web authoring tool to create IMS LD Units of Learning. With regard to the execution stage, a service-oriented architecture was developed to allow the execution of IMS LD Units of Learning, whose learning processes have been modelled through Petri Nets.

On the use of an IMS LD ontology for creating and executing Units of Learning: Application to the Astronomy case study