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Journal of Engineering and Applied Sciences
Year: 2017 | Volume: 12 | Issue: 6 SI | Page No.: 7731-7737
DOI: 10.36478/jeasci.2017.7731.7737  
A Semantic Modeling of Personalized e-Learning System with Collaborative Refining and Content based on Clouds
Rajni Jindal and Alka Singhal
 
Abstract: This study proposes the concept of e-Learning cloud broker which is a framework of a learning management system on cloud, providing a common platform to all the e-Learning providers to share their data and increase their accessibility. After taking the stores of information from the registered providers, the orchestration layer of the system will semantically annotate the data and build a useful and manageable base of knowledge using defined global and local context ontologies. On the other side when a learner accesses the portal, depending upon his profile details, it gives him the precise and wide amount of data by semantically inferring his request. Learner will be also provided with a platform for blogging, recommending the content and sharing their ideas forming the foundation of collaborative learning. The framework will utilize the benefits of both ontology and cloud computing to provide the mechanism to connect man and machine. This way the information stored in any server of any part of the world can be organized into meaningful knowledge bases and hence can be accessed by those who can be benefited from them.
 
How to cite this article:
Rajni Jindal and Alka Singhal, 2017. A Semantic Modeling of Personalized e-Learning System with Collaborative Refining and Content based on Clouds. Journal of Engineering and Applied Sciences, 12: 7731-7737.
DOI: 10.36478/jeasci.2017.7731.7737
URL: http://medwelljournals.com/abstract/?doi=jeasci.2017.7731.7737