TY - GEN
T1 - E-learning content management
T2 - 3rd IASTED International Conference on Advances in Computer Science and Technology, ACST 2007
AU - Jekjantuk, Nophadol
AU - Hasan, Md Maruf
PY - 2007
Y1 - 2007
N2 - Scarcity of E-Learning content being a barrier for ELearning is no longer true on today's Internet. The current concerns are how to effectively annotate and organize available content (both textual and non-textual) to facilitate effective sharing, reusability and customization in an intelligent fashion. In this paper, we explain a component-oriented approach to organize content in an ontology. We also illustrate our 3-Tier E-Learning Content Management Architecture and relevant Web Services and Interfaces. We use a simple yet intuitive example to successfully demonstrate the current working prototype which is capable of compiling personalized course materials on a particular topic (e.g., "Database") on-the-fly. The prototype uses the Pellet Semantic Web Reasoner as an inference engine to satisfy the constraints and criteria specified by a user (through browser based interface) or an agent (via Web Service API), and retrieves relevant content from the domain ontology in an organized fashion.
AB - Scarcity of E-Learning content being a barrier for ELearning is no longer true on today's Internet. The current concerns are how to effectively annotate and organize available content (both textual and non-textual) to facilitate effective sharing, reusability and customization in an intelligent fashion. In this paper, we explain a component-oriented approach to organize content in an ontology. We also illustrate our 3-Tier E-Learning Content Management Architecture and relevant Web Services and Interfaces. We use a simple yet intuitive example to successfully demonstrate the current working prototype which is capable of compiling personalized course materials on a particular topic (e.g., "Database") on-the-fly. The prototype uses the Pellet Semantic Web Reasoner as an inference engine to satisfy the constraints and criteria specified by a user (through browser based interface) or an agent (via Web Service API), and retrieves relevant content from the domain ontology in an organized fashion.
KW - E-learning content management
KW - Learning objects
KW - Ontology-driven inference
KW - Semantic web services
UR - http://www.scopus.com/inward/record.url?scp=56149102844&partnerID=8YFLogxK
M3 - Conference Proceeding
AN - SCOPUS:56149102844
SN - 9780889866560
T3 - Proceedings of the 3rd IASTED International Conference on Advances in Computer Science and Technology, ACST 2007
SP - 78
EP - 83
BT - Proceedings of the 3rd IASTED International Conference on Advances in Computer Science and Technology, ACST 2007
Y2 - 2 April 2007 through 4 April 2007
ER -