Classification Framework for Context Data from Business Processes

  • Michael MöhringEmail author
  • Rainer Schmidt
  • Ralf-Christian Härting
  • Florian Bär
  • Alfred Zimmermann
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 202)


New business concepts such as Enterprise 2.0 foster the use of social software in enterprises. Especially social production significantly increases the amount of data in the context of business processes. Unfortunately, these data are still an unearthed treasure in many enterprises. Due to advances in data processing such as Big Data, the exploitation of context data becomes feasible. To provide a foundation for the methodical exploitation of context data, this paper introduces a classification, based on two classes, intrinsic and extrinsic data.


Context data BPM Intrinsic data Extrinsic data Business processes 


  1. 1.
    McAfee, A.P.: Enterprise 2.0: the dawn of emergent collaboration. MIT Sloan Manag. Rev. 47, 21–28 (2006)Google Scholar
  2. 2.
    Benkler, Y.: The Wealth of Networks : How Social Production Transforms Markets and Freedom. Yale University Press, New Haven (2006)Google Scholar
  3. 3.
    Taylor, F.W.: The principles of scientific management, vol. 202. Harper, N.Y. (1911)Google Scholar
  4. 4.
    Chang, W.Y., Abu-Amara, H., Sanford, J.F.: Introduction to Enterprise Services and Cloud Resources1. In: Transforming Enterprise Cloud Services. Springer, Netherlands, pp. 1–42 (2011)Google Scholar
  5. 5.
    Blumberg, R., Atre, S.: The problem with unstructured data. DM Rev. 13, 42–49 (2003)Google Scholar
  6. 6.
    Herbst, J., Karagiannis, D.: An inductive approach to the acquisition and adaptation of workflow models. Proc. IJCAI 99, 52–57 (1999)Google Scholar
  7. 7.
    Friedrich, F., Mendling, J., Puhlmann, F.: Process model generation from natural language text. In: Mouratidis, H., Rolland, C. (eds.) CAiSE 2011. LNCS, vol. 6741, pp. 482–496. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  8. 8.
    Weske, M.: Business Process Management: Concepts, Languages, Architectures. Springer, Heidelberg (2007)Google Scholar
  9. 9.
    Schmidt, R.: Social Data for Product Innovation, Marketing and Customer Relations. Presented at the BPMS2, Tallinn, Estonia, March 09, 2012Google Scholar
  10. 10.
    Brambilla, M., Fraternali, P., Vaca, C.: BPMN and design patterns for engineering social BPM solutions. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds.) BPM Workshops 2011, Part I. LNBIP, vol. 99, pp. 219–230. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  11. 11.
    Ross, J.W., Weill, P., Robertson, D.: Enterprise Architecture as Strategy: Creating a Foundation for Business Execution. Harvard Business School Press, Watertown (2006)Google Scholar
  12. 12.
    Schmidt, R., Möhring, M., Zimmermann, A., Wissotzki, M., Sandkuhl, K., Jugel, D.: Towards a framework for enterprise architecture analytics. In: Proceedings of the 18th IEEE International Enterprise Distributed Object Computing Conference Workshops (EDOCW), Ulm/Germany, Ulm, Germany (2014, in press)Google Scholar
  13. 13.
    Guest, R.H., Aitken, H.G.J.: Taylorism at watertown arsenal: scientific management in action 1908–1915. Technol. Cult. 2(2), 191 (1961)CrossRefGoogle Scholar
  14. 14.
    Josey, A.: TOGAF Version 9 A Pocket Guide. Van Haren Pub., England (2009)Google Scholar
  15. 15.
    Governatori, G., Milosevic, Z., Sadiq, S.: Compliance checking between business processes and business contracts. In: 10th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2006, pp. 221–232 (2006)Google Scholar
  16. 16.
    Taylor, F.W.: The Principles of Scientific Management. General Books LLC, Tennessee (2010)Google Scholar
  17. 17.
    Granovetter, M.: The strength of weak ties. Am. J. Sociol. 78(6), 1360–1380 (1973)CrossRefGoogle Scholar
  18. 18.
    Surowiecki, J.: The Wisdom of Crowds: Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations. Anchor, London (2005)Google Scholar
  19. 19.
    Prahalad, C.K., Ramaswamy, V.: Co-creating unique value with customers. Strategy Leadersh. 32(3), 4–9 (2004)CrossRefGoogle Scholar
  20. 20.
    Vargo, S., Maglio, P., Akaka, M.: On value and value co-creation: A service systems and service logic perspective. Eur. Manag. J. 26(3), 145–152 (2008)CrossRefGoogle Scholar
  21. 21.
    Klein, S., Totz, C.: Prosumers as service configurators-vision, status and future requirements1. In: E-Life Dot Com Bust., p. 119 (2004)Google Scholar
  22. 22.
    Li, J., Wang, H.J., Zhang, Z., Zhao, J.L.: A policy-based process mining framework: mining business policy texts for discovering process models. Inf. Syst. E-Bus. Manag. 8(2), 169–188 (2010)CrossRefGoogle Scholar
  23. 23.
    Leopold, H., Mendling, J., Polyvyanyy, A.: Generating natural language texts from business process models. In: Ralyté, J., Franch, X., Brinkkemper, S., Wrycza, S. (eds.) CAiSE 2012. LNCS, vol. 7328, pp. 64–79. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  24. 24.
    Schumacher, P., Minor, M., Schulte-Zurhausen, E.: Extracting and enriching workflows from text. In: 2013 IEEE 14th International Conference on Information Reuse and Integration (IRI), pp. 285–292 (2013)Google Scholar
  25. 25.
    Van der Aalst, W.M., Weijters, A.: Process mining: a research agenda. Comput. Ind. 53(3), 231–244 (2004)CrossRefGoogle Scholar
  26. 26.
    Schmidt, R., Möhring, M., Maier, S., Pietsch, J., Härting, R.-C.: Big data as strategic enabler - insights from central european enterprises. In: Abramowicz, W., Kokkinaki, A. (eds.) BIS 2014. LNBIP, vol. 176, pp. 50–60. Springer, Heidelberg (2014)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Michael Möhring
    • 1
    Email author
  • Rainer Schmidt
    • 2
  • Ralf-Christian Härting
    • 1
  • Florian Bär
    • 2
  • Alfred Zimmermann
    • 3
  1. 1.Aalen UniversityAalenGermany
  2. 2.Munich University of Applied SciencesMunichGermany
  3. 3.Reutlingen UniversityReutlingenGermany

Personalised recommendations