Developing an intelligent parking management application based on multi-agent systems and semantic web technologies

Abstract

Multi-agent systems (MAS) are being adopted in multiple areas to deal with knowledge-based applications. On the other hand, Semantic Web technologies such as OWL and SWRL have shown to be useful in managing knowledge and reasoning about it. This paper proposes an architecture based on these technologies to develop an intelligent parking management application, where agents interact to reach a consensus about the assignment of a parking area to a vehicle. Moreover, this paper tackles the inherent problem related to the rise of conflicts in MAS by means of the integration of an argumentation system called ASBO (which is part of our previous work) into the proposed architecture. © 2010 Springer-Verlag.