Distributed knowledge has attracted more and
more attention as a way to improve knowledge sharing
across the world using the Internet. This paradigm
enables many systems to interact with each other and
share their knowledge while keeping their own ontology.
Several researchers have worked on this topic with
different strategies but they all argue that the main issue
is to make sure that the other systems understand the
concepts of its domain correctly. In order to be sure that
they understand each other, systems use concept
learning to learn the meaning of concepts they
communicate with. In this paper, we try to overcome
this complexity by suggesting a system that enables
agents to learn new concepts from several different
agents at the same time and each agent has its own
ontology. We use social networks paradigm to
communicate between agents to enhance the accuracy of
learning process. |
