Skip to main content
SpringerLink
Log in

Automated Enactment Tracking for Dynamic Workflows

  • Dissertationen und Habilitationen
  • Published:
KI - Künstliche Intelligenz Aims and scope Submit manuscript

Abstract

The notion of workflows is an established concept to coordinate the activities within an organization. However, human workflow participants typically have to explicitly report the steps taken, limiting acceptance and effectiveness of workflow technology. In the presented PhD thesis, the novel approach of automated enactment tracking is introduced to overcome this problem. Using a Multi-Agent System, the data produced during everyday activities is evaluated in a robust and flexible manner. The system applies Case-Base Reasoning to identify the tasks performed, following the principle that similar tasks produce similar data. Agents further collaborate with each other to identify processes enacted in parallel, and to compensate for missing or inaccurate information.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  1. Bergmann R, Althoff KD, Minor M, Reichle M, Bach K (2009) Case-based reasoning: introduction and recent developments. Künstl Intell 23(1):5–11

    Google Scholar 

  2. Bergmann R, Freßmann A, Maximini K, Maximini R, Sauer T (2006) Case-based support for collaborative business. In: Proceedings of the 8th European conference on case-based reasoning (ECCBR’06). LNCS, vol 4106. Springer, Berlin, pp 519–533

    Google Scholar 

  3. Hollingsworth D (1995) The workflow reference model. Tech Rep, The Workflow Management Coalition

  4. zur Muehlen M (2004) Organizational management in workflow applications—issues and perspectives. Inf Technol Manag 5(3):271–291

    Article  Google Scholar 

  5. Sauer T (2010) Automated enactment tracking for dynamic workflows. PhD thesis, University of Trier. Published by Verlag Dr Hut

  6. Sauer T, Maximini K, Maximini R, Bergmann R (2006) Supporting collaborative business through integration of knowledge distribution and agile process management. In: Multikonferenz Wirtschaftsinformatik 2006 (MKWI’06), pp 349–361

  7. Sauer T, Minor M, Werno S (2008) An agent-oriented system for workflow enactment tracking. In: Proc of the 17th workshops on enabling technologies: infrastructures for collaborative enterprises (WETICE’08). IEEE Computer Society, Los Alamitos, pp 235–240

    Google Scholar 

  8. Weiss G (ed) (2000) Multiagent systems: a modern approach to distributed artificial intelligence. MIT Press, Cambridge

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. rjm business solutions GmbH, Sperlingweg 3, 68623, Lampertheim, Germany

    Thomas Sauer

Authors
  1. Thomas Sauer
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Thomas Sauer.

Additional information

This PhD thesis was supervised by Prof. Dr. Ralph Bergmann, University of Trier. Prof. Dr. Klaus-Dieter Althoff, University of Hildesheim served as second reviewer.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sauer, T. Automated Enactment Tracking for Dynamic Workflows. Künstl Intell 24, 355–359 (2010). https://doi.org/10.1007/s13218-010-0052-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13218-010-0052-0

Keywords

Search

Navigation