KISS – Knowledge-Intensive Service Support: An Approach for Agile Process Management

  • Daniela Feldkamp
  • Knut Hinkelmann
  • Barbara Thönssen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4824)


Automating business processes especially in the tertiary sector is still a challenge as they are normally knowledge intensive, little automated but compliance relevant. To meet these requirements the paper at hand introduces the KISS approach: modeling knowledge intensive services by enriching business rules semantically and linking rules to processes. We defined four types of rules, each focusing on a specific problem (resource allocation, constraints checking, intelligent branching and variable process planning and execution). For knowledge formalization we provide a 3-phase-procedure starting with a semi-formal representation (business model), followed by a formal representation (interchange model), leading to a machine executable representation (execution model).


Agile Business Process Process Modelling Business Rules Business Rules Formalization Variable Process 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Abecker, A., Bernardi, A., Hinkelmann, K., Kühn, O., Sintek, M.: Toward a Well-Founded Technology for Organizational Memories. IEEE Intelligent Systems and their Applications 13(3), 40–48 (1998), Reprint in: Cortada, J.W., Woods, J.A(Eds.) The Knowledge Management Yearbook 1999-2000, pp. 185-199. Butterworth-Heinemann, (1998)CrossRefGoogle Scholar
  2. 2.
    Adams, M., Edmond, D., ter Hofstede, A.H.M.: The Application of Activity Theory to Dynamic Workflow Adaptation Issues. In: PACIS-2003. The Seventh Pacific Asia Conference on Information Systems, Adelaide, Australia, pp. 1836–1852 (2003)Google Scholar
  3. 3.
    Andrews, T., Curbera, F., Dholakia, H., Goland, Y., Klein, J., Leymann, F., Liu, K., Roller, D., Smith, D., Thatte, S., Trickovic, I., Weerawarana, S.: Business Process Execution Language for Web Services (2002) (Retrieved April 4, 2007), available at
  4. 4.
    Business Rules Group: Defining Business Rules ~ What Are They Really p. 4 (2000) (Retrieved: April 19 2007), Available at:,
  5. 5.
    Endl, R.: Regelbasierte Entwicklung betrieblicher Informationssysteme, Gestaltung flexibler Informationssysteme durch explizite Modellierung der Geschäftslogik. Wirtschaftsinformatik, Band 45, Josef Eul Verlag, Bern (2004)Google Scholar
  6. 6.
    Hammer, M., Champy, J.: Reengineering the Corporation. Harper Collins Publishers, Reengineering the Corporation (1993)Google Scholar
  7. 7.
    Herbst, H.: Business Rule-Oriented Conceptual Modeling. Physica-Verlag, Heidelberg (1997)Google Scholar
  8. 8.
    Horroks, I., Patel-Schneider, P., Boley, H., Tabet, S., Grosof, B., Dean, M.: SWRL - A Semantic Web Rule Language, Combining OWL and RuleML (2004) (Retrieved: June 12, 2006),
  9. 9.
  10. 10.
    Karagiannis, D., Hinkelmann, K.: Context-sensitive office tasks – a generative approach. Decision Support Systems. 8, 255–267 (1992)CrossRefGoogle Scholar
  11. 11.
    Lienhardt, H., Künzi, U.: Workflow and Business Rules: a Common Approach (2006) (Retrieved: March 18, 2007), Available at:
  12. 12.
    Martin, D., Burstein, M., Hobbs, J., Lassila, O., McDermott, D., McIlraith, S., Narayanan, S., Paolucci, M., Parsia, B., Payne, T., Sirin, E., Srinivasan, N., Sycara, K.: OWL-S: Semantic Markup for Web Services (2004) (Retrieved: March 22, 2007), Available at:
  13. 13.
    Morgan, T.: Business Rules and Informations Systems: Aligning IT with Business Goals. Addison-Wesley, Boston (2002)Google Scholar
  14. 14.
    McGuinness, D.L., von Harmelen, F.: OWL Web Ontology Language Overview (2004) (Retrieved: March 19, 2007), Available at:
  15. 15.
    Ross, R.G.: Principles of the business rules approach. Addison-Wesley Professional, Boston (2003)Google Scholar
  16. 16.
    Ross, R.G.: Business Rules Concepts- - Getting to the Point of Knowledge. In: Ross, R.G. (ed.) Business Rule Solutions, LLC, Houston (1998)Google Scholar
  17. 17.
    Schacher, M., Grässle, P.: Agile Unternehmen durch Business Rules. Springer, Heidelberg (2006)Google Scholar
  18. 18.
    Soreco Group, Was ist Xpert.ivy? (Retrieved April 3, 2007), Available at:
  19. 19.
    Von Halle, B.: Business Rules Applied, Building Better Systems Using the Business Rules Approach. Wiley and Sons, New York (2002)Google Scholar
  20. 20.
    Wargitsch, C., Wewers, T., Theisinger, F.: WorkBrain- Merging Organizational Memory and Workflow Management Systems. In: Abecker, A., Decker, S., Hinkelmann, K., Reimer, U. (eds.) Knowledge-Based Systems for Knowledge Management in Enterprises. Workshop held at the 21st Annual German Conference on AI, Document D-97-03, DFKI Kaiserslautern (1997)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Daniela Feldkamp
    • 1
  • Knut Hinkelmann
    • 1
  • Barbara Thönssen
    • 1
  1. 1.University of Applied Sciences Northwestern Switzerland, School of Business, Riggenbachstr. 16, 4600 OltenSwitzerland

Personalised recommendations