Abstract
This paper presents an ontology describing the semantics of the level B of the IMS Learning Design specification. The ontology is aimed at supporting intelligent agents to automate the tasks involved during the execution of IMS LD documents. The work includes a taxonomy of concepts, a set of axioms formalized in first order logic, and a case study. The ontology was built with Protégé, represented in OWL, and finally translated in XML Schema for validation with the Reload tool. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Amorim, R. R., Sánchez, E., & Lama, M. (2006). The problem of LD execution and the need for an IMS LD level B ontology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4227 LNCS, pp. 537–542). Springer Verlag. https://doi.org/10.1007/11876663_49
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
