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Pedagogical Resources Indexation Based on Ontology in Intelligent Recommendation System for Contents Production in d-Learning Environment

机译:基于本体论智能推荐系统的教学资源指数,用于D学习环境中的内容

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We witness, today, a strong evolution of learning environments. In parallel, a problem has emerged, consisting in how to capitalize the production of resources when switching from one environment to another. The heterogeneity of the environments, the evolution of the platforms and the will to reuse the educational resources already produced pushed us to design an intelligent system based on cases. In this study, we will focus on the need for resource indexing to facilitate the task of researching and recommending educational resources for authors regardless of the learning environment used. In the literature, this representation can take two forms: Standards or ontologies. The use of standards has partially solved our problem since it is very beneficial for systems that are under construction. On the other hand, it is more interesting to go through the ontologies for systems that are already designed, that we wish to reuse, especially for those that have shown, through the authors, a great satisfaction in the field of knowledge management. Indeed, their use does not require an investment in the environments concerned by the reuse.
机译:我们目睹,今天,学习环境的强烈演变。同时,出现了一个问题,包括如何在从一个环境切换到另一个环境时利用资源的生产。环境的异构性,平台的演变和重用教育资源的意志已经推动我们根据案例设计智能系统。在这项研究中,我们将重点关注资源索引,以促进研究和建议作者教育资源的任务,无论使用的学习环境如何。在文献中,此表示可以采用两种形式:标准或本体。标准的使用部分解决了我们的问题,因为它对正在建设的系统非常有益。另一方面,我们更有趣的是,我们希望重复使用的系统,特别是对于那些通过作者来源的人来利用,特别是在知识管理领域的良好满意度。实际上,他们的使用不需要在重用的情况下投资。

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