Toward a New Treatment Approach of Learning Content in Cloud Era

Nowadays, Technological development of human beings is extremely related to information. This is proved on the manners and areas that life was computerized such as in trade, government services, medicine, education, learning etc.Nevertheless, the fast development of designing information systems has created several sub-systems in multiple contexts which are conceived by different communities and totally dispersed geographically but all undertaking the same area. Neither contents nor services that these subsystems are made are certainly in the same technology environments. In our research, the learning field goes through many key steps. Actually, new revolutionized practices were implemented due to technology innovation, so transition from classical learning towards distance learning or d-learning is more than possible, it’s desired. Consequently, this phenomenon has created more opportunities for learners and teachers but also several challenges; in many cases, the multitude of standards hinders the learner migration from a learning environment to another, so it hampers its learning development.In this paper, we will propose a framework of interoperability based on three levels. Since we are interested in semantic level, we propose a process of interoperability of learning content in the cloud era based on a global ontology. Like recommendation systems, we will start our process by acquisition, then validation and finally structuration of the learning content. This structuration way will give to both actors of learning environment a certain flexibility and access to other resources in Cloud environment. The basic principle is to collect content, to enrich it and to make it interoperable by using unified approach in star based on a comprehensive ontology. Our work is a part of MADAR project which is “Learning Architecture Adapted to Mobile Technology”