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Ontology-based Architecture for Reusing and Learning Through Context-aware Annotations Memory

机译:基于本体的架构,通过上下文感知注释内存重用和学习

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This paper describes a conceptual model and an ontology-based framework for reusing and learning through context-aware annotations memory. This memory manages annotations and adapts actors (learner, tutor, teacher, and co-author) behaviours with the various contexts of their activities. It offers a great reutilisability to share and have a better quality of learning. The annotation model that we propose is composed of three facets: cognitive, semantic and contextual. The architecture of our annotations memory contains many modules based on Web Services. This facilitates its integration with the other tools used by the actors of a computer environment for human learning like, for example, the e-Learning platforms and annotations tools.
机译:本文介绍了一种概念模型和基于本体的框架,用于通过上下文感知注释存储器重用和学习。此内存管理注释并使用活动的各种情况制作辅助和适应演员(学习者,导师,教师和共同作者)行为。它提供了巨大的可抵消性,并具有更好的学习质量。我们提出的注释模型由三个方面组成:认知,语义和语境。我们的注释存储器的架构包含了基于Web服务的许多模块。这有助于与计算机环境的演员用于人类学习的其他工具的集成,例如,电子学习平台和注释工具。

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