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Títol:
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Exploring semantic description and matching technologies for enhancing the automatic composition of grid based learning services
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Autor/a:
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Gutiérrez Carreón, Gustavo; Jorba i Esteve, Josep; Daradoumis Haralabus, Atanasi
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Abstract:
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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. |
Matèries:
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-Semantic Web -Educational technology -Artificial intelligence -Machine learning -Web semàntica -Tecnologia educativa -Aprenentatge automàtic -Representació del coneixement (Teoria de la informació) -Web semántica -Tecnología educativa -Aprendizaje automático -Representación del conocimiento (Teoría de la información) |
Drets:
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