Business process data compliance

  • Authors:
  • Mustafa Hashmi;Guido Governatori;Moe Thandar Wynn

  • Affiliations:
  • Queensland Research Laboratory, NICTA, St. Lucia, Australia, Queensland University of Technology (QUT), Brisbane, Australia;Queensland Research Laboratory, NICTA, St. Lucia, Australia, Queensland University of Technology (QUT), Brisbane, Australia;Queensland Research Laboratory, NICTA, St. Lucia, Australia, Queensland University of Technology (QUT), Brisbane, Australia

  • Venue:
  • RuleML'12 Proceedings of the 6th international conference on Rules on the Web: research and applications
  • Year:
  • 2012

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Abstract

Most approaches to business process compliance are restricted to the analysis of the structure of processes. It has been argued that full regulatory compliance requires information on not only the structure of processes but also on what the tasks in a process do. To this end Governatori and Sadiq [2007] proposed to extend business processes with semantic annotations. We propose a methodology to automatically extract one kind of such annotations; in particular the annotations related to the data schema and templates linked to the various tasks in a business process.