Keeping interoperability between IMS-LD scenarios in Educational Cloud Computing based on Semantic Indexing

Abstract

The purpose of this paper is to propose an effective system to automate the work between learning actors and manage interoperability between contents in the Educational Cloud (EC). Building e-learning systems in the cloud computing is a multidisciplinary endeavor that involves Learning Object (LO), Instructional Management Systems Learning Design (IMS-LD) specification, semi-automatic semantic indexing techniques according to ontologies, algorithms for the automatic processing of natural language (NLP) and system development framework. Our project implements a group of engaging, affectionate, and effective IMS-LD package equipped with abilities to facilitate and support reuse, sharing and identification of the LO between learning actors in the EC. We proposed a pedagogical system in EC that offer more benefits for the various actors to collaborate and to share LO flexibly.