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Makale Özeti:
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This paper reports on a study aiming to develop a metadata model for e-learning coordination based on semantic web languages. A survey of e-learning modes are done initially in order to identify content such as phases, activities, data schema, rules and relations, etc. relevant for a coordination model. In this respect, the study looks into the mechanism of e-learning environment and the question of how e-learning can be classified in terms of activity coordination. A metadata model for coordination of e-learning is being sought which may be expressed using semantic web languages such as OWL + RDF. This is part of a project involving studies on several fronts regarding the application of semantic web initiative into e-learning; i.e. design and development of markup and annotation tools, relevant ontologies, intelligent agents, etc. The objective is eventually to build capability to semantically integrate and selectively retrieve e-content in implementing e-learning environments.
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