Advertisement

An Operational Decision Support Framework for Monitoring Business Constraints

  • Fabrizio Maria Maggi
  • Marco Montali
  • Wil M. P. van der Aalst
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7212)

Abstract

Only recently, process mining techniques emerged that can be used for Operational decision Support (OS), i.e., knowledge extracted from event logs is used to handle running process instances better. In the process mining tool ProM, a generic OS service has been developed that allows ProM to dynamically interact with an external information system, receiving streams of events and returning meaningful insights on the running process instances. In this paper, we present the implementation of a novel business constraints monitoring framework on top of the ProM OS service. We discuss the foundations of the monitoring framework considering two logic-based approaches, tailored to Linear Temporal Logic on finite traces and the Event Calculus.

Keywords

Declare process mining monitoring operational decision support 

References

  1. 1.
    van der Aalst, W.M.P., Pesic, M., Song, M.: Beyond Process Mining: From the Past to Present and Future. In: Pernici, B. (ed.) CAiSE 2010. LNCS, vol. 6051, pp. 38–52. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  2. 2.
    Verbeek, E., Buijs, J., van Dongen, B., van der Aalst, W.: Prom 6: The process mining toolkit. In: Demo at BPM 2010 (2010)Google Scholar
  3. 3.
    Westergaard, M., Maggi, F.M.: Modeling and Verification of a Protocol for Operational Support Using Coloured Petri Nets. In: Kristensen, L.M., Petrucci, L. (eds.) PETRI NETS 2011. LNCS, vol. 6709, pp. 169–188. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  4. 4.
    Pesic, M., Schonenberg, H., van der Aalst, W.: DECLARE: Full Support for Loosely-Structured Processes. In: EDOC 2007, pp. 287–300 (2007)Google Scholar
  5. 5.
    Pesic, M., van der Aalst, W.M.P.: A Declarative Approach for Flexible Business Processes Management. In: Eder, J., Dustdar, S. (eds.) BPM Workshops 2006. LNCS, vol. 4103, pp. 169–180. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  6. 6.
    Montali, M., Pesic, M., van der Aalst, W.M.P., Chesani, F., Mello, P., Storari, S.: Declarative Specification and Verification of Service Choreographies. ACM Transactions on the Web 4(1) (2010)Google Scholar
  7. 7.
    Montali, M.: Specification and Verification of Declarative Open Interaction Models. LNBIP, vol. 56. Springer, Heidelberg (2010)zbMATHCrossRefGoogle Scholar
  8. 8.
    Montali, M., Maggi, F., Chesani, F., Mello, P., van der Aalst, W.: Monitoring Business Constraints with the Event Calculus. Technical Report DEIS-LIA-002-11, University of Bologna (Italy) (2011), LIA Series no. 97, http://www.lia.deis.unibo.it/Research/TechReport/LIA-002-11.pdf
  9. 9.
    Maggi, F.M., Montali, M., Westergaard, M., van der Aalst, W.M.P.: Monitoring Business Constraints with Linear Temporal Logic: An Approach Based on Colored Automata. In: Rinderle-Ma, S., Toumani, F., Wolf, K. (eds.) BPM 2011. LNCS, vol. 6896, pp. 132–147. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  10. 10.
    Giannakopoulou, D., Havelund, K.: Automata-Based Verification of Temporal Properties on Running Programs. In: ASE 2001, pp. 412–416 (2001)Google Scholar
  11. 11.
    Westergaard, M.: Better Algorithms for Analyzing and Enacting Declarative Workflow Languages Using LTL. In: Rinderle-Ma, S., Toumani, F., Wolf, K. (eds.) BPM 2011. LNCS, vol. 6896, pp. 83–98. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  12. 12.
    Shanahan, M.: The Event Calculus Explained. In: Artificial Intelligence Today: Recent Trends and Developments, pp. 409–430 (1999)Google Scholar
  13. 13.
    Chittaro, L., Montanari, A.: Efficient Temporal Reasoning in the Cached Event Calculus. Computational Intelligence 12, 359–382 (1996)MathSciNetCrossRefGoogle Scholar
  14. 14.
    International Telecommunications Union: Technical characteristics for a universal shipborne Automatic Identification System using time division multiple access in the VHF maritime mobile band. Recommendation ITU-R M.1371-1 (2001)Google Scholar
  15. 15.
    Governatori, G., Milosevic, Z., Sadiq, S.W.: Compliance Checking Between Business Processes and Business Contracts. In: EDOC 2006, pp. 221–232 (2006)Google Scholar
  16. 16.
    Awad, A., Decker, G., Weske, M.: Efficient Compliance Checking Using BPMN-Q and Temporal Logic. In: Dumas, M., Reichert, M., Shan, M.-C. (eds.) BPM 2008. LNCS, vol. 5240, pp. 326–341. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  17. 17.
    van der Aalst, W.M.P., de Beer, H.T., van Dongen, B.F.: Process Mining and Verification of Properties: An Approach Based on Temporal Logic. In: Meersman, R., Tari, Z. (eds.) CoopIS/DOA/ODBASE 2005. LNCS, vol. 3760, pp. 130–147. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  18. 18.
    Wetzstein, B., Ma, Z., Leymann, F.: Towards measuring key performance indicators of semantic business processes. In: BIS 2008, pp. 227–238 (2008)Google Scholar
  19. 19.
    Wetzstein, B., Leitner, P., Rosenberg, F., Brandic, I., Dustdar, S., Leymann, F.: Monitoring and analyzing influential factors of business process performance. In: EDOC 2009, pp. 141–150 (2009)Google Scholar
  20. 20.
    Ly, L.T., Göser, K., Rinderle-Ma, S., Dadam, P.: Compliance of Semantic Constraints - A Requirements Analysis for Process Management Systems. In: GRCIS 2008 (2008)Google Scholar
  21. 21.
    Maggi, F.M., Westergaard, M., Montali, M., van der Aalst, W.M.P.: Runtime Verification of LTL-Based Declarative Process Models. In: Khurshid, S., Sen, K. (eds.) RV 2011. LNCS, vol. 7186, pp. 131–146. Springer, Heidelberg (2012)Google Scholar
  22. 22.
    Chesani, F., Mello, P., Montali, M., Torroni, P.: Verification of Choreographies During Execution Using the Reactive Event Calculus. In: Bruni, R., Wolf, K. (eds.) WS-FM 2008. LNCS, vol. 5387, pp. 55–72. Springer, Heidelberg (2009)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Fabrizio Maria Maggi
    • 1
  • Marco Montali
    • 2
  • Wil M. P. van der Aalst
    • 1
  1. 1.Eindhoven University of TechnologyThe Netherlands
  2. 2.KRDB Research CentreFree University of Bozen-BolzanoItaly

Personalised recommendations