OARLCAM: An Ontology-Based Approach for Reusing and Learning Through Context-Aware Annotations Memory

Provided by: International Journal of Computer and Information Technology (IJCIT)
Topic: Big Data
Format: PDF
In this paper, the authors present an approach to adapt and reuse learning annotations and contexts. Then, they explain the process to capitalization and reuse of learning annotations and associated learning contexts. This paper is to provide to the actor, an appropriate learning which is reviewed or validated previously by others, with similar learning contexts. The modeling and the formalization of learning annotations and learning contexts will allow defining functions for their comparison and their evaluations, in order to reuse them.

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