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Title: Exploring semantic description and matching technologies for enhancing the automatic composition of grid based learning services
Author: Gutiérrez Carreón, Gustavo
Jorba i Esteve, Josep  
Daradoumis Haralabus, Atanasi  
Issue Date: 16-Feb-2010
Citation: Gutiérrez-Carreón, G.; Daradoumis, A.; Jorba, J. (2007). "Exploring Semantic Description and Matching Technologies for Enhancing the Automatic Composition of Grid based Learning Services". In: 5th International Workshop on Ontologies and Semantic Web for E-Learning (SWEL'07 @ AIED'07). AIED Conference 2007. Los Angeles. 9 - 13 July.
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.
Language: English
Appears in Collections:Conference lectures

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