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Revealing semantic relations in learning object structure

Conference Paper
Publication Date:
2007
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
learning object; semantic web; ont; learning object management system
List of contributors:
Fulantelli, Giovanni; Allegra, Mario; Gentile, Manuel; Taibi, Davide
Authors of the University:
ALLEGRA MARIO
FULANTELLI GIOVANNI
GENTILE MANUEL
TAIBI DAVIDE
Handle:
https://iris.cnr.it/handle/20.500.14243/63432
Book title:
Proceedings of the 7th WSEAS International Conference on Applied Informatics and Communications
Published in:
RECENT ADVANCES IN ELECTRICAL ENGINEERING
Series
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Overview

URL

http://www.wseas.us/e-library/conferences/2007athensel/papers/564-414.pdf
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