Department of Computer Science
Sub-ontology evolution for service composition with application to distributed e-learning
In order to meet the on-demand requirement of service composition at a large scale, one should go beyond the use of static domain ontologies but allow different focused aspects of the ontologies to be distributed as sub-ontologies. To demonstrate the feasibility of the sub-ontology idea, we suggest a possible implementation using the semantic Web technology and apply it to distributed e-learning.
Electronic learning, Ontologies, Large-scale systems, Context-aware services, Semantic Web, Application software, Computer science, Service oriented architecture, Problem-solving, Meeting planning
Source Publication Title
Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI’05)
Hong Kong, China
Copyright © 2005 by The Institute of Electrical and Electronics Engineers, Inc.
This work was partially supported by a grant from the Major State Basic Research Development Program of China (973 Program) under grant number 2003CB316906, and a grant from RGC Central Allocation Group Research Grant (HKBU 2/03/C).
Link to Publisher's Edition
Mao, Y., Cheung, W., Wu, Z., & Liu, J. (2005). Sub-ontology evolution for service composition with application to distributed e-learning. Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI’05). https://doi.org/10.1109/ICTAI.2005.117