Exploring Semantic Description and Matching Technologies for Enhancing the Automatic Composition of Grid based Learning Services

Gustavo Gutiérrez-Carreón (1) , Thanasis Daradoumis (1) , Josep Jorba (1)

1 DPCS - Distributed Parallel and Collaborative Systems

In the implementation of e-learning frameworks, a problem still unsolved is how to use and integrate low-level learning services to compose more complex high-level services or tools that make sense to both tutors and learners. In that sense semantic description of Grid learning Services appears like a powerful tool to be used for discovering and matching learning services depending of a set of parameters inside the learning framework. These parameters must represent significant functional characteristics of a learning Grid environment formed by a set of distributed e-learning resources and services. The main objective of this article is to present a review of existing technologies related with semantic description and matching and some techniques used at present to provide Grid Learning Tools and Services automatic composition.

Mots clés: learning grids; e-learning services; automatic composition

Domaines: Environnements Informatiques pour l'Apprentissage Humain

Gustavo Gutiérrez-Carreón, Thanasis Daradoumis, Josep Jorba. Exploring Semantic Description and Matching Technologies for Enhancing the Automatic Composition of Grid based Learning Services. 5th International Workshop on Ontologies and Semantic Web for E-Learning (SWEL'07 @ AIED'07), 2007, Marina Del Rey, United States. pp.36-43. ⟨hal-00190072⟩