Title :
An Agent-based System for Context-Sensitive Information Integration
Author :
Xing, Yan ; Zhan, Yinwei
Author_Institution :
Fac. of Autom., Guangdong Univ. of Technol.
Abstract :
Context-based meta-learning (CML) is a new approach for information integration in the application domain of virtual organizations. Aiming at the implementation of CML, this paper designs a multi-agent system to simulate the distributed environment of a virtual organization. Different from others, our system integrates two working modes and adopts two communication mechanisms. The details of system architecture and operation are explained. Experiments are performed to demonstrate that the whole system works well
Keywords :
commerce; multi-agent systems; agent-based system; context-based meta-learning; context-sensitive information integration; distributed environment; multi-agent system; virtual organizations; Collaboration; Communications technology; Context modeling; Data mining; Educational institutions; Health information management; Hospitals; Information analysis; Memory; Multiagent systems;
Conference_Titel :
Networking, Sensing and Control, 2006. ICNSC '06. Proceedings of the 2006 IEEE International Conference on
Conference_Location :
Ft. Lauderdale, FL
Print_ISBN :
1-4244-0065-1
DOI :
10.1109/ICNSC.2006.1673238
