Revealing semantic relations in learning object structure

Authors:
D. Taibi;M. Gentile;G. Fulantelli;M. Allegra
Affiliations:
ITD-Institute for Educational Technology, CNR-Italian National Research Council, Palermo, Italy;ITD-Institute for Educational Technology, CNR-Italian National Research Council, Palermo, Italy;ITD-Institute for Educational Technology, CNR-Italian National Research Council, Palermo, Italy;ITD-Institute for Educational Technology, CNR-Italian National Research Council, Palermo, Italy
Venue:
AIC'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Informatics and Communications - Volume 7
Year:
2007

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Abstract

In the framework of the EU-funded SLOOP Project, Sharing Learning Objects in an Open perspective, we have developed FreeLOms, a Learning Object Management System aimed at managing learning objects according to the new OpenLO model. In this work we present our proposal for extracting semantic relations from the structure of existing SCORM-compliant learning resources using the semantic web technologies. Semantic web technologies encourage a multiplicity of analyses and dynamic organizations of resources through reasoning about the related concepts and relations. The benefits of this kind of functionalities offered by the FreeLOms platform are reflected mainly in the reusability of the learning objects.