SWA-KMDLS: an enhanced e-learning management system using semantic web and knowledge management technology

  • Authors:

  • Ahmad Mukhlason;Ahmad Kamil Mahmood;Noreen Izza Arshad;Ahmad Izuddin Zainal Abidin

  • Affiliations:

  • Information System Department, Institut Teknologi Sepuluh Nopember;Computer and Information Sciences Department, Universiti Teknologi PETRONAS;Computer and Information Sciences Department, Universiti Teknologi PETRONAS;Computer and Information Sciences Department, Universiti Teknologi PETRONAS

  • Venue:
  • IIT'09 Proceedings of the 6th international conference on Innovations in information technology
  • Year:
  • 2009

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Abstract

In knowledge economy age in which knowledge have becomethe 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 beenfully 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 eLearning 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 Ontologyfrom text learning object with precision of 86.67%, thus saving the expert time and effort to build Ontology manually. Additionally the experimenton 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 ofAquas in thefuture use.