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The challenge of the semantic web is the provision of distributed information with well-defined meaning, understandable for different parties. The semantic web will take the world- wide web much further and develop it into a distributed system for knowledge representation and computing. The aim of the semantic web is to not only support access to information “on the web” by direct links or by search engines but also to support its use. Instead of searching for documents that matches keywords, it should possible to combine information to answer questions.
"e-Learning is just-in-time education integrated with high velocity value chains. It is the delivery of individualized, comprehensive, dynamic learning content in real time, aiding the development of communities of knowledge, linking learners and practitioners with experts"
In this paper we design e-Learning system by using semantic web and show how the semantic web resource description formats can be utilized for automatic generation of hypertext structures from distributed metadata. It is primarily based on ontology-based descriptions of content, context and structure of the learning materials and thus provides flexible and personalized access to these learning materials.
In this system the Conceptual Model containing both the Student Model and the Knowledge Space Model was designed. Based on the Student Conceptual Model, the Student Ontology was designed in order to maintain a machine understandable repository with the student’s profile. Based on both the Knowledge Space Conceptual Model and the Metadata Standard Specification, a Metadata Application Profile was designed intended to address the metadata needs for the e-Learning context of the particular project. Based on the identified Adaptability Requirements, the Content Knowledge Ontology was created to maintain the knowledge of each piece of the e-Learning content of the system. Also, the Domain Ontology was created based on the defined application profile and the scope and structure of the domain to be taught.
Keywords:
e-Learning, semantic web, ontology, education hypermedia
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