Dynamic context-aware business process: a rule-based approach supported by pattern identification

  • Authors:
  • Jose F. Mejia Bernal;Paolo Falcarin;Maurizio Morisio;Jia Dai

  • Affiliations:
  • Politecnico di Torino, Turin, Italy;Politecnico di Torino, Turin, Italy;Politecnico di Torino, Turin, Italy;Politecnico di Torino, Turin, Italy

  • Venue:
  • Proceedings of the 2010 ACM Symposium on Applied Computing
  • Year:
  • 2010

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Abstract

Making a business process more dynamic is an open issue, and we think it is feasible if we decompose the business process structure in a set of rules, like ECA (Event Condition Action) rules, each of them representing a transition of the business process, i.e. an edge of the business process graph structure. As a consequence the business process engine can be realized by reusing and integrating an existing Rule Engine. We are proposing a way for representing Dynamic Business Process in terms of Rules based on patterns identification. With this approach it is easy to apply on a business process instance both user-based personalization rules and automatic rules inferred by an underlying context-aware system.