Towards Measuring Key Performance Indicators of Semantic Business Processes

  • Branimir Wetzstein
  • Zhilei Ma
  • Frank Leymann
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 7)


Business Activity Monitoring (BAM) enables continuous, real-time performance measurement of business processes based on key performance indicators (KPI). The performance information is employed by business users but prior support from IT engineers is required for setting up the BAM solution. Semantic Business Process Management (SBPM) tries to minimize the needed support from IT staff throughout the business process lifecycle. In this paper we introduce a framework for BAM as part of SBPM. We show how performance measurement related activities can be integrated into the semantic business process lifecycle. KPIs are modeled by business analysts exploiting semantic annotations of business processes. KPI models are automatically transformed to IT-level event-based models and used for real-time monitoring using reasoning technology.


Semantic Business Process Management Business Activity Monitoring Key Performance Indicator 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Alves de Medeiros, A.K., Pedrinaci, C., Aalst, W.M.P., Domingue, J., Song, M., Rozinat, A., Norton, B., Cabral, L.: An Outlook on Semantic Business Process Mining and Monitoring. In: Proceedings of 3rd International IFIP Workshop On Semantic Web & Web Semantics (SWWS 2007) at On The Move Federated Conferences and Workshops (2007)Google Scholar
  2. Born, M., Doerr, F., Weber, I.: User-friendly Semantic Annotation in Business Process Modeling. In: Benatallah, B., Casati, F., Georgakopoulos, D., Bartolini, C., Sadiq, W., Godart, C. (eds.) WISE 2007. LNCS, vol. 4831, Springer, Heidelberg (2007)Google Scholar
  3. de Bruijn, J., Lausen, H., Krummenacher, R., Polleres, A., Predoiu, L., Kifer, M., Fensel, D.: The Web Service Modeling Language WSML (October 5, 2005),
  4. Business Process Modeling Notation Specification. OMG Final Adopted Specification, February 6 (2006)Google Scholar
  5. Castellanos, M., Casati, F., Dayal, U., Shan, M.-C.: A Comprehensive and Automated Approach to Intelligent Business Processes Execution Analysis. Distributed and Parallel Databases Journal 16(3) (2004)Google Scholar
  6. Chowdhary, P., Jeng, J.J., et al.: Model Driven Development for Business Performance Management. IBM System Journal 45(3) (2006)Google Scholar
  7. Fantini, P. (ed.): Semantic Business Process Lifecycle. SUPER Project Deliverable D2.2 (May 2007),
  8. Heymans, S. (ed.): Business Process Ontology Framework. SUPER Project Deliverable D1.1 (May 2007),
  9. Hepp, M., Leymann, F., Domingue, J., Wahler, A., Fensel, D.: Semantic Business Process Management: A Vision Towards Using Semantic Web Services for Business Process Management. In: Proceedings of the IEEE ICEBE 2005, Beijing, China, October 18-20, 2005, pp. 535–540 (2005)Google Scholar
  10. Luckham, D.C.: The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems. Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA (2002)Google Scholar
  11. zur Muehlen, M., Rosemann, M.: Workflow-based Process Monitoring and Controlling - Technical and Organizational Issues. In: HICSS 2000 (2000)Google Scholar
  12. Nitzsche, J., van Lessen, T., Karastoyanova, D., Leymann, F.: BPEL for Semantic Web Services. In: Proceedings of the 3rd International Workshop on Agents and Web Services in Distributed Environments (AWeSome 2007) (2007)Google Scholar
  13. Pedrinaci, C., Domingue, J.: Towards an Ontology for Process Monitoring and Mining. In: Semantic Business Process and Product Lifecycle Management (SBPM 2007), Innsbruck, Austria (June 2007)Google Scholar
  14. Supply Chain Operations Reference Model, SCOR Version 8.0 (2007),
  15. Smith, H., Fingar, P.: Business Process Management. The Third Wave. Meghan-Kiffer, US (2003)Google Scholar
  16. Schmelzer, H.J., Sesselmann, W.: Geschäftsprozessmanagement in der Praxis. Hanser Verlag (2006)Google Scholar
  17. Wahli, U., Avula, V., Macleod, H., Saeed, M., Vinther, A.: Business Process Management: Modeling through Monitoring Using WebSphere V6.0.2 Products. IBM Redbook SG24714801 (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Branimir Wetzstein
    • 1
  • Zhilei Ma
    • 1
  • Frank Leymann
    • 1
  1. 1.Institute of Architecture of Application SystemsUniversity of StuttgartGermany

Personalised recommendations