Assessing Semantic Consistency of Business Process Models

نویسندگان

  • Bernhard G. Humm
  • Janina Fengel
چکیده

Business process modeling has become an accepted means for designing and describing business operations. Thereby, consistency of business process models, i.e., the absence of modeling faults, is of upmost importance to organizations. This paper presents a concept and subsequent implementation for detecting faults in business process models and for computing a measure of their consistency. It incorporates not only syntactic consistency but also semantic consistency, i.e., consistency regarding the meaning of model elements from a business perspective. Keywords—Business process modeling, model analysis, semantic consistency, Semantic Web

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تاریخ انتشار 2012