A Meta-Model of Business Interaction for Assisting Intelligent Workflow Systems

Areti Manataki, Jessica Chen-Burger

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationAgent and Multi-Agent Systems: Technologies and Applications
Subtitle of host publication5th KES International Conference, KES-AMSTA 2011, Manchester, UK, June 29 – July 1, 2011. Proceedings
EditorsJames O’Shea, Ngoc Thanh Nguyen, Keeley Crockett, Robert Howlett, Lakhmi Jain
PublisherSpringer Berlin Heidelberg
Pages692-701
Number of pages10
ISBN (Electronic)978-3-642-22000-5
ISBN (Print)978-3-642-21999-3
DOIs
Publication statusPublished - 2011
Event5th International KES Conference on Agents and Multi-agent Systems – Technologies and Applications - Manchester, United Kingdom
Duration: 29 Jun 20111 Jul 2011

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
Volume6682

Conference

Conference5th International KES Conference on Agents and Multi-agent Systems – Technologies and Applications
Country/TerritoryUnited Kingdom
CityManchester
Period29/06/111/07/11

Keywords

  • intelligent workflow
  • business interaction
  • ontology
  • business action theory

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