A meta-model of business interaction for assisting intelligent workflow systems

Authors:
Areti Manataki;Yun-Heh Chen-Burger
Affiliations:
Centre for Intelligent Systems and their Applications, School of Informatics, The University of Edinburgh, Edinburgh, UK;Centre for Intelligent Systems and their Applications, School of Informatics, The University of Edinburgh, Edinburgh, UK
Venue:
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Year:
2011

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Abstract

Business interaction is a significant aspect of intelligent workflow systems, which are envisaged to deal with dynamic and interorganisational environments. However, automating business interaction in an intelligent way is not an easy task. To address this issue, this paper presents an ontological approach for modelling business interaction. The developed meta-model can support the process of automating business interaction, as well as assist its automated analysis. The ontology's development is described and its application is demonstrated through an example use case.