SWA-KMDLS: An enhanced e-Learning Management System using Semantic Web and Knowledge Management technology

In knowledge economy age in which knowledge have become the most precious resource, e-Learning is used to not only acquire knowledge but also to maintain competitiveness and advantages for individuals or organizations. However, the early promise of e-Learning has not been fully realized. In most of its implementation, it is not more than a handout being published online. This paper aims to exploit the Semantic Web (SW), Knowledge Management (KM) technology two emerging and promising technology to enhance the existing e-Learning Management System (LMS). An Ontology approach that is the backbone of SW and KM is introduced for developing (semi-) automatic ontological knowledge base construction system (SAOKBCS) and automated question answering system (Aquas) in the proposed e-Learning system. The experiment conducted has shown that the SAOKBCS can extract concept that is the main component of Ontology from text learning object with precision of 86.67%, thus saving the expert time and effort to build Ontology manually. Additionally the experiment on Aquas has shown that more than 80% of users are satisfied with answers provided by the system. The expert locator framework can also improve the performance of Aquas in the future use.