Title:
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Toward a semantic approach for automatic composition of Learning Grid Services
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Author:
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Gutiérrez Carreón, Gustavo; Daradoumis Haralabus, Atanasi; Jorba i Esteve, Josep
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Other authors:
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Universitat Oberta de Catalunya. Distributed, Parallel and Collaborative Systems (DPCS) |
Abstract:
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Due to their potential advantages, the use of Grid
technologies toward the development of collaborative
and personalized learning frameworks has been considerably increased. These learning frameworks can be constructed based on the distributed learning services and resources available in a learning Grid environment. A problem still unsolved is how to use and integrate low-level learning services to compose more complex high-level services or tools that can be useful to both tutors and learners. In that sense, on the one hand, semantic description of Grid learning
services appears to be a powerful tool that can be used
to discover suitable learning services depending on the
systemâ¿¿s semantic capabilities. On the other hand, it
can be employed to carry out a matching process among the learning services located in a learning framework to obtain the best fit according to specific functional parameters. These parameters represent significant characteristics of a learning Grid environment. This paper presents an initial effort that
integrates schema and ontology matching methods that
aim to develop a model to cope with the complex problem of automatic composition of Grid based learning tools and their portals. |
Subject(s):
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-Educational technology -Web-based instruction -- Study and teaching (Higher) -Education, Higher -- Computer-assisted instruction -Computational grids (Computer systems) -Tecnologia educativa -Ensenyament virtual -- Ensenyament universitari -Ensenyament universitari -- Ensenyament assistit per ordinador -Mètodes multiquadrícula (Anàlisi numèrica) -Tecnología educativa -Enseñanza virtual -- Enseñanza universitaria -Enseñanza universitaria -- Enseñanza asistida por ordenador -Tecnología grid |
Rights:
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(c) 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. |
Document type:
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Conference Object |
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