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2005
Springer

Semantic-Based Automated Composition of Distributed Learning Objects for Personalized E-Learning

11 years 10 months ago
Semantic-Based Automated Composition of Distributed Learning Objects for Personalized E-Learning
Recent advances in e-learning techonologies and web services make realistic the idea that courseware for personalized e-learning can be built by dynamic composition of distributed learning objects, available as web-services. To be assembled in au automated way, learning objects metadata have to be exploited, associating unambiguous, semantically rich, descriptions, to be used for such an automated composition. To this aim, we present a framework and algorithms for semantic-based learning objects composition, fully compliant with Semantic Web technologies. In particular our metadata refer to ontologies built on a subset of OWL-DL, and we show how novel inference services in Description Logics can be used to compose dynamically, in an approximated –but computationally tractable– way learning resources, given a requested courseware description.
Simona Colucci, Tommaso Di Noia, Eugenio Di Sciasc
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ESWS
Authors Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Azzurra Ragone
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