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

Abstract : 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.
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Conference papers
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https://telearn.archives-ouvertes.fr/hal-00190072
Contributor : Jerome Zeiliger <>
Submitted on : Friday, November 23, 2007 - 8:33:14 AM
Last modification on : Wednesday, September 18, 2019 - 1:31:16 AM
Long-term archiving on : Monday, April 12, 2010 - 3:29:03 AM

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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⟩

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