A Holonic Ontology-Based Multi-Agent System for the Distributed Scheduling and Monitoring of Industrial Processes

Abstract

This paper proposes a middleware architecture that will serve as a framework for the management of industrial processes in an industrial grid environment. The proposed system is based on agents making possible the effective distribution of intelligence, thus fortifying the survivability of the industrial network, while a central point of monitoring and control allows agent monitoring. By the term 'agent' we denote a piece of software which overviews a well-defined part ofan industrial process, abides to rules, accepts inputs, issues reports and easily adapts to environmental changes. Utilizing key technologies like web services, workflow allocation and ontologies, a scalable and highly adaptable architecture is achieved.

Semantically-supported information retrieval in inter-enterprise cluster for the tourist sector

“…According to Werthner and Ricci (2004), the technologies that are expected to have the major impact in tourist sector are: In order to ensure semantic information, a semantic model composed in terms of an ontology is utilised. Different projects follow service-oriented approaches for addressing interoperability issues emphasising on workflow aspects and ontological descriptions (Kalogeras et al, 2006;Georgoudakis et al, 2005;Alexakos et al, 2005) or business-to-business applications . Tourism cluster ontology is expected to increase the degree of overall cluster interoperability, flexibility and scalability.…”