An OWL-based semantic business process monitoring framework

  • Authors:

  • Dongwoo Kang;Sunjae Lee;Kwangsoo Kim;Jae Yeol Lee

  • Affiliations:

  • Department of Industrial and Management Engineering, Pohang University of Science and Technology, San 31, Hyoja-dong, Namgu, Pohang 790-784, South Korea;Engineering Information Group, Samsung Electronics Semiconductor Business, South Korea;Department of Industrial and Management Engineering, Pohang University of Science and Technology, San 31, Hyoja-dong, Namgu, Pohang 790-784, South Korea;Department of Industrial Engineering, Chonnam National University, Gwangju, South Korea

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2009

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Abstract

Process monitoring phase is one of the service-oriented business process (SOBP) lifecycle phases. Traditional process monitoring approaches have been only achieved at the syntactic level of the process monitoring contexts, which causes the communication problems such as ambiguous understandings and divergent interpretations. To solve the problems, the process monitoring should be achieved at the semantic level as well as at the syntax level of the process monitoring context. In order to support semantic monitoring operations, an ontology-based monitoring framework for the SOBP execution is suggested in this paper. The suggested framework combines a BPEL4WS process model with the semantic monitoring context which is expressed with OWL.