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

被引:0
作者
Aloui, Nadia [1 ]
Gargouri, Faiez [1 ]
机构
[1] Univ Sfax, MIRACL Lab, Sfax, Tunisia
来源
SIXTH INTERNATIONAL MULTI-CONFERENCE ON COMPUTING IN THE GLOBAL INFORMATION TECHNOLOGY (ICCGI 2011) | 2011年
关键词
CEHL; context-aware; annotation; adaptation; learning;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 coauthor) 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.
引用
收藏
页码:154 / 159
页数:6
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