Development of an e-learning system incorporating semantic web
Khurram Naim Shamsi, Zafar Iqbal Khan

TL;DR
This paper presents a semantic web-based e-learning system tailored for Saudi Arabian universities, utilizing ontology descriptions for content and personalized access, validated through qualitative interviews.
Contribution
It introduces a novel ontology-based semantic web model for e-learning, enhancing personalization and navigation in university environments.
Findings
Improved navigation through semantic content descriptions
Enhanced personalized access to learning materials
Validated framework via qualitative interviews
Abstract
E-Learning is efficient, task relevant and just-in-time learning grown from the learning requirements of the new and dynamically changing world. The term Semantic Web covers the steps to create a new WWW architecture that augments the content with formal semantics enabling better possibilities of navigation through the cyberspace and its contents. In this paper, we present the Semantic Web-Based model for our e-learning system taking into account the learning environment at Saudi Arabian universities. The proposed system is mainly based on ontology-based descriptions of content, context and structure of the learning materials. It further provides flexible and personalized access to these learning materials. The framework has been validated by an interview based qualitative method.
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