Abstract—The current approaches to e-Learning implement the teacher-student model: students are presented with material (in a limited personalized manner) and then tested to assess their learning. Recent advances in Web-based learning technology provide a broad variety of learning materials available to people. However, the increase of reachable material confuses a selection decision. A support system based on learner demands, backgrounds, and users’ preference is needed to help effectively search preferred materials. The Semantic Web can offer more flexibility in e-learning systems through use of new emergent Semantic Web technologies. The key characteristic of Semantic Web architecture promises a powerful approach to satisfy the e-learning requirements. Learning material is semantically annotated. For a new learning demand, it may be easily combined in a new learning course. According to user’s preference, he/she can find and combine useful learning material continently and economically.

Index Terms—Benefits of e-learning, categories of e-learning, e-learning tools, semantic web for e-learning.

N. K. Shah is Assistant Professor, D. J. Sanghvi College of Engineering (email: neepa31hp@yahoo.com).

Cite: Neepa K. Shah , "E-Learning and Semantic Web ," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 2, no. 2, pp. 113-116, 2012.