Advanced Social Features in a Recommendation System for Process Modeling

  • Agnes Koschmider
  • Minseok Song
  • Hajo A. Reijers
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 21)

Abstract

Social software is known to stimulate the exchange and sharing of information among peers. This paper describes how an existing system that supports process builders in completing a business process can be enhanced with various social features. In that way, it is easier for process modeler to become aware of new related content. They can use that content to create, update or extend process models that they are building themselves. The proposed way of achieving this is to allow users to generate and modify personalized views on the social networks they are part of. Furthermore, this paper describes mechanisms for propagating relevant changes between peers in such social networks. The presented work is particularly relevant in the context of enterprises that have already built large repositories of process models.

Keywords

Social Networks Business Processes Modeling Support Personalization 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Wasserman, S., Faust, K., Iacobucci, D., Granovetter, M.: Social Network Analysis: Methods and Applications. Cambridge University Press, Cambridge (1994)CrossRefGoogle Scholar
  2. 2.
    Hornung, T., Koschmider, A., Lausen, G.: Recommendation based process modeling support: Method and user experience. In: Li, Q., Spaccapietra, S., Yu, E., Olivé, A. (eds.) ER 2008. LNCS, vol. 5231, pp. 265–278. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  3. 3.
    Koschmider, A., Song, M., Reijers, H.A.: Social Software for Modeling Business Processes. In: Ardagna, D., et al. (eds.) BPM 2008 Workshops. LNBIP, vol. 17, pp. 666–677. Springer, Heidelberg (2009)Google Scholar
  4. 4.
    Weber, B., Reichert, M., Rinderle-Ma, S.: Change patterns and change support features - enhancing flexibility in process-aware information systems. Data & Knowledge Engineering 66, 438–466 (2008)CrossRefGoogle Scholar
  5. 5.
    Koschmider, A., Habryn, F., Gottschalk, F.: Real support for perspective-compliant business process design. In: Ardagna, D., et al. (eds.) BPM 2008 Workshops. LNBIP, vol. 17, pp. 32–43. Springer, Heidelberg (2008)Google Scholar
  6. 6.
    Frikken, K.B., Golle, P.: Private social network analysis: how to assemble pieces of a graph privately. In: Proceedings of the 5th ACM workshop on Privacy in electronic society, pp. 89–98. ACM, New York (2006)CrossRefGoogle Scholar
  7. 7.
    Brickell, J., Shmatikov, V.: Privacy-preserving graph algorithms in the semi-honest model. In: Roy, B. (ed.) ASIACRYPT 2005. LNCS, vol. 3788, pp. 236–252. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  8. 8.
    Zhang, J., Ackerman, M.S.: Searching for expertise in social networks: a simulation of potential strategies. In: Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work, pp. 71–80. ACM, New York (2005)CrossRefGoogle Scholar
  9. 9.
    Tsai, T.M., Shih, S., Stu, J., Wang, W.N., Chou, S.C.T.: Beyond web-log: Transform blog into personal expertise and social network via myfoaf support. In: Workshop on Social Web Search and Mining (2008)Google Scholar
  10. 10.
    van der Aalst, W.M.P., Reijers, H.A., Song, M.: Discovering social networks from event logs. Computer Supported Cooperative Work 14, 549–593 (2005)CrossRefGoogle Scholar
  11. 11.
    Faensen, D., Faulstich, L., Schweppe, H., Hinze, A., Steidinger, A.: Hermes: A notification service for digital libraries. In: Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries, pp. 373–380 (2001)Google Scholar
  12. 12.
    Mason, W.A., Jones, A., Goldstone, R.L.: Propagation of innovations in networked groups. Journal of Experimental Psychology 137, 233–422 (2008)Google Scholar
  13. 13.
    Burkhardt, M.E., Brass, D.J.: Changing patterns or patterns of change: The effect of a change in technology on social network structure and power. Administrative Science Quarterly 35, 104–127 (1990)CrossRefGoogle Scholar
  14. 14.
    Kendall, J.E., Kendall, K.E.: Information delivery systems: an exploration of web pull and push technologies. Communications of the Association for Information Systems 1 (1999)Google Scholar
  15. 15.
    Qaddour, J.: Wap and push technology integrated into mobile commerce applications. In: Proceedings of the IEEE International Conference on Computer Systems and Applications, Washington, DC, USA, pp. 779–785. IEEE Computer Society, Los Alamitos (2006)Google Scholar
  16. 16.
    Hevner, A., March, S., Park, J., Ram, S.: Design Science in Information Systems Research. Management Information Systems Quarterly 28, 75–106 (2004)Google Scholar
  17. 17.
    Reijers, H., Mans, R., van der Toorn, R.: Improved Model Management with Aggregated Business Process Models. Data & Knowledge Engineering 68, 221–243 (2009)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Agnes Koschmider
    • 1
  • Minseok Song
    • 2
  • Hajo A. Reijers
    • 2
  1. 1.Institute of Applied Informatics and Formal Description MethodsUniversität Karlsruhe (TH)Germany
  2. 2.School of Industrial EngineeringEindhoven University of TechnologyThe Netherlands

Personalised recommendations