DocumentCode :
3482071
Title :
SWA-KMDLS: An enhanced e-Learning Management System using Semantic Web and Knowledge Management technology
Author :
Mukhlason, Ahmad ; Mahmood, Ahmad Kamil ; Arshad, Noreen Izza ; Abidin, Ahmad Izuddin Zainal
fYear :
2009
fDate :
15-17 Dec. 2009
Firstpage :
335
Lastpage :
339
Abstract :
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.
Keywords :
computer aided instruction; expert systems; knowledge management; ontologies (artificial intelligence); semantic Web; automated question answering system; enhanced e-learning management system; expert locator framework; knowledge economy; knowledge management; ontological knowledge base construction system; ontology approach; semantic Web; text learning object; Electronic learning; Industrial training; Knowledge management; Least squares approximation; Management information systems; Ontologies; Resource management; Semantic Web; Spine; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovations in Information Technology, 2009. IIT '09. International Conference on
Conference_Location :
Al Ain
Print_ISBN :
978-1-4244-5698-7
Type :
conf
DOI :
10.1109/IIT.2009.5413788
Filename :
5413788
Link To Document :
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