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On the Move to Meaningful Internet Systems 2007: OTM 2007 Workshops

Volume 4806 of the series Lecture Notes in Computer Science pp 1244-1255

An Outlook on Semantic Business Process Mining and Monitoring

  • A. K. Alves de MedeirosAffiliated withEindhoven University of Technology, P.O. Box 513, 5600MB, Eindhoven
  • , C. PedrinaciAffiliated withKnowledge Media Institute, The Open University, Milton Keynes
  • , W. M. P. van der AalstAffiliated withEindhoven University of Technology, P.O. Box 513, 5600MB, Eindhoven
  • , J. DomingueAffiliated withKnowledge Media Institute, The Open University, Milton Keynes
  • , M. SongAffiliated withEindhoven University of Technology, P.O. Box 513, 5600MB, Eindhoven
  • , A. RozinatAffiliated withEindhoven University of Technology, P.O. Box 513, 5600MB, Eindhoven
  • , B. NortonAffiliated withKnowledge Media Institute, The Open University, Milton Keynes
  • , L. CabralAffiliated withKnowledge Media Institute, The Open University, Milton Keynes

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Abstract

Semantic Business Process Management (SBPM) has been proposed as an extension of BPM with Semantic Web and Semantic Web Services (SWS) technologies in order to increase and enhance the level of automation that can be achieved within the BPM life-cycle. In a nutshell, SBPM is based on the extensive and exhaustive conceptualization of the BPM domain so as to support reasoning during business processes modelling, composition, execution, and analysis, leading to important enhancements throughout the life-cycle of business processes. An important step of the BPM life-cycle is the analysis of the processes deployed in companies. This analysis provides feedback about how these processes are actually being executed (like common control-flow paths, performance measures, detection of bottlenecks, alert to approaching deadlines, auditing, etc). The use of semantic information can lead to dramatic enhancements in the state-of-the-art in analysis techniques. In this paper we present an outlook on the opportunities and challenges on semantic business process mining and monitoring, thus paving the way for the implementation of the next generation of BPM analysis tools.