Synergizing Standard and Ad-Hoc Processes

  • Andreas S. Rath
  • Mark Kröll
  • Keith Andrews
  • Stefanie Lindstaedt
  • Michael Granitzer
  • Klaus Tochtermann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4333)


In a knowledge-intensive business environment, knowledge workers perform their tasks in highly creative ways. This essential freedom required by knowledge workers often conflicts with their organization’s need for standardization, control, and transparency. Within this context, the research project DYONIPOS aims to mitigate this contradiction by supporting the process engineer with insights into the process executer’s working behavior. These insights constitute the basis for balanced process modeling. DYONIPOS provides a process engineer support environment with advanced process modeling services, such as process visualization, standard process validation, and ad-hoc process analysis and optimization services.


process modeling knowledge utilization ad-hoc process mining process engineer services knowledge capturing process visualization 


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  1. 1.
    di Battista, G., Eades, P., Tamassia, R., Tollis, I.G.: Graph Drawing: Algorithms for the Visualization of Graphs. Prentice Hall, New Jersey (1999)zbMATHGoogle Scholar
  2. 2.
    Dragunov, A.N., Dietterich, T.G., Johnsrude, K., McLaughlin, M., Li, L., Herlocker, J.L.: Tasktracer: a desktop environment to support multi-tasking knowledge workers. In: IUI 2005: Proceedings of the 10th international conference on Intelligent user interfaces, pp. 75–82. ACM Press, New York (2005)CrossRefGoogle Scholar
  3. 3.
    Eades, P.: A heuristic for graph drawing. Congressus Numerantium 42, 149–160 (1984)MathSciNetGoogle Scholar
  4. 4.
    Fenstermacher, K.D.: Revealed Processes in Knowledge Management. In: Althoff, K.-D., Dengel, A.R., Bergmann, R., Nick, M., Roth-Berghofer, T.R. (eds.) WM 2005. LNCS, vol. 3782, pp. 443–454. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  5. 5.
    Fuhr, N.: Information Retrieval — From Information Access to Contextual Retrieval. In: Eibl, M., Wolff, C., Womser-Hacker, C. (eds.) Designing Information Systems. Festschrift für Jürgen Krause, pp. 47–57 (2005)Google Scholar
  6. 6.
    Jourdan, F., Melancon, G.: Multiscale hybrid MDS. In: Proc. Eighth International Conference on Information Visualisation (IV 2004), London, UK, pp. 388–393. IEEE, Los Alamitos (2004)CrossRefGoogle Scholar
  7. 7.
    Riss, U., Rickayzen, A., Maus, H., van der Aalst, W.: Challenges for Business Process and Task Management  0, 77–100 (2005)Google Scholar
  8. 8.
    Riss, U.: Knowledge, Action, and Context: A Process View on Knowledge Management. In: Professional Knowledge Management - Experiences and Visions, Contributions to the 3rd Conference Professional Knowledge Management - Experiences and Visions, Kaiserslautern, Germany, pp. 555–558 (2005)Google Scholar
  9. 9.
    Schwarz, S., Abecker, A., Maus, H., Sintek, M.: Anforderungen an die Workflow-Unterstützung für wissensintensive Geschäftsprozesse. In: WM 2001, Baden-Baden, Germany (2001)Google Scholar
  10. 10.
    Sugiyama, K., Tagawa, S., Toda, M.: Methods for visual understanding of hierarchical system structures. IEEE Transactions on Systems, Man, and Cybernetics 11(2), 109–125 (1981)CrossRefMathSciNetGoogle Scholar
  11. 11.
    Tochtermann, K., Granitzer, M., Sabol, V., Klieber, W.: MISTRAL: Service-orientierte Cross-Media Techniken zur Extraktion von Semantik aus Multimedia Daten und deren Anwendung. In: Reich, S., Güntner, G., Pellegrini, T., Wahler, A. (eds.) Proceedings Semantics 2005. Trauner Verlag (2005)Google Scholar
  12. 12.
    Granitzer, M., Lindstaedt, S., Tochtermann, K., Reisinger, D.: Integrating Ad Hoc Processes and Standard Processes in Public Administrations. In: Proceedings of the OCG eGovernment Conference, Linz (Austria) (2006)Google Scholar
  13. 13.
    van der Aalst, W., Weijters, A., Maruster, L.: Workflow Mining: Discovering Process Models from Event Logs (2003)Google Scholar
  14. 14.
    van der Aalst, W., Weijters, A.J.M.M.: Process mining: a research agenda. Comput. Ind. 53(3), 231–244 (2004)CrossRefGoogle Scholar
  15. 15.
    van der Aalst, W., Weske, M.: Case handling: a new paradigm for business process support. Data Knowl. Eng. 53(2), 129–162 (2005)CrossRefGoogle Scholar
  16. 16.
    van Elst, L., Aschoff, F.R., Bernardi, A., Maus, H., Schwarz, S.: Weakly-structured workflows for knowledge-intensive tasks: An experimental evaluationGoogle Scholar
  17. 17.
    De Michelis, G., van der Aalst, W., Ellis, C.A.: Workflow management: Net-based concepts, models, techniques, and tools. In: Computing Science Report 98/7, Eindhoven, The Netherlands. Eindhoven University of Technology (1998)Google Scholar
  18. 18.
    Wen, L., Wang, J., Wang, Z., Sun, J.: A Novel Approach for Process Mining Based on Event Types (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Andreas S. Rath
    • 1
  • Mark Kröll
    • 1
  • Keith Andrews
    • 3
  • Stefanie Lindstaedt
    • 1
  • Michael Granitzer
    • 1
  • Klaus Tochtermann
    • 1
    • 2
  1. 1.Know-Center GrazGrazAustria
  2. 2.Knowledge Management InstituteGraz University of TechnologyGrazAustria
  3. 3.Institute for Information Systems and Computer Media (IICM)Graz University of TechnologyGrazAustria

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