Advertisement

Self-learning Predictor Aggregation for the Evolution of People-Driven Ad-Hoc Processes

  • Christoph Dorn
  • César A. Marín
  • Nikolay Mehandjiev
  • Schahram Dustdar
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6896)

Abstract

Contemporary organisational processes evolve with people’s skills and changing business environments. For instance, process documents vary with respect to their structure and occurrence in the process. Supporting users in such settings requires sophisticated learning mechanisms using a range of inputs overlooked by current dynamic process systems. We argue that analysing a document’s semantics is of uttermost importance to identify the most appropriate activity which should be carried out next. For a system to reliably recommend the next steps suitable for its user, it should consider both the process structure and the involved documents’ semantics. Here we propose a self-learning mechanism which dynamically aggregates a process-based document prediction with a semantic analysis of documents. We present a set of experiments testing the prediction accuracy of the approaches individually then compare them with the aggregated mechanism showing a better accuracy.

Keywords

document analysis process recommendation people-driven ad-hoc processes document and process evolution 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Adams, M., Edmond, D., ter Hofstede, A.H.M.: The application of activity theory to dynamic workflow adaptation issues. In: 7th Pacific Asia Conference on Information Systems. pp. 1836–1852 (2003)Google Scholar
  2. 2.
    Adams, M., Hofstede, A., Edmond, D., van der Aalst, W.: Facilitating flexibility and dynamic exception handling in workflows through worklets. In: Proceedings of the CAiSE 2005 Forum, FEUP. pp. 45–50 (2005)Google Scholar
  3. 3.
    Berry, M.W., Drmac, Z., Jessup, E.R.: Matrices, vector spaces, and information retrieval. Society for Industrial and Applied Mathematics Review 41(2) (1999)Google Scholar
  4. 4.
    Dorn, C., Burkhart, T., Werth, D., Dustdar, S.: Self-adjusting recommendations for people-driven ad-hoc processes. In: Proceedings of International Conference on Business Process Modelling. Springer, Heidelberg (September 2010)Google Scholar
  5. 5.
    Dorn, C., Dustdar, S.: Supporting dynamic, people-driven processes through self-learning of message flows. In: Mouratidis, H., Rolland, C. (eds.) CAiSE 2011. LNCS, vol. 6741, pp. 657–671. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  6. 6.
    Han, E.H., Karypis, G.: Centroid-based document classification: Analysis and experimental results. In: Zighed, D., Komorowski, J., Zytkow, J. (eds.) PKDD 2000. LNCS (LNAI), vol. 1910, pp. 424–431. Springer, Heidelberg (2000)CrossRefGoogle Scholar
  7. 7.
    Joseph, D., Marín, C.A.: A study on aligning documents using the circle of interest technique. In: 5th International Conference on Software and Data Technologies, pp. 374–383. SciTe Press (2010)Google Scholar
  8. 8.
    Künzle, V., Reichert, M.: Philharmonicflows: towards a framework for object-aware process management. Journal of Software Maintenance and Evolution: Research and Practice 23(4), 205–244 (2011), http://dx.doi.org/10.1002/smr.524 CrossRefGoogle Scholar
  9. 9.
    Kuo, J.Y.: A document-driven agent-based approach for business processes management. Information and Software Technology 46(6), 373–382 (2004)CrossRefGoogle Scholar
  10. 10.
    Laclavík, M., Dlugolinký, S., Šeleng, M., Kvassay, M., Hluchý, L.: Email analysis and information extraction for enterprise benefit. Computing and Informatics 30(1) (2011)Google Scholar
  11. 11.
    Lakshmanan, G.T., Duan, S., Keyser, P.T., Khalaf, R., Curbera, F.: A heuristic approach for making predictions for semi- structured case oriented business processes. In: First Workshop on Traceability and Compliance of Semi-structured Processes @BPM 2010. Springer, Heidelberg (2010)Google Scholar
  12. 12.
    Marín, C.A., Carpenter, M., Wajid, U., Mehandjiev, N.: Devolved ontology in practice for a seamless semantic alignment within dynamic collaboration networks of smes. Computing and Informatics 30(1) (2011)Google Scholar
  13. 13.
    OASIS: ebXML technical architecture specification. Tech. rep., ebXML (2001)Google Scholar
  14. 14.
    Reichert, M., Rinderle, S., Dadam, P.: Adept workflow management system: flexible support for enterprise-wide business processes. In: van der Aalst, W.M.P., ter Hofstede, A.H.M., Weske, M. (eds.) BPM 2003. LNCS, vol. 2678, pp. 370–379. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  15. 15.
    Reijers, H., Rigter, J., Aalst, W.V.D.: The case handling case. International Journal of Cooperative Information Systems 12, 365–391 (2003)CrossRefGoogle Scholar
  16. 16.
    Scerri, S., Davis, B., Handschuh, S.: Improving Email Conversation Efficiency through Semantically Enhanced Email. In: Proceedings of the 18th International Conference on Database and Expert Systems Applications, pp. 490–494. IEEE Computer Society, Washington (2007)Google Scholar
  17. 17.
    Scerri, S., Davis, B., Handschuh, S.: Semanta Supporting E-mail Workflows in Business Processes. In: Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing, pp. 483–484. IEEE Computer Society, Los Alamitos (2009)CrossRefGoogle Scholar
  18. 18.
    Schonenberg, H., Weber, B., Dongen, B., van der Aalst, W.: Supporting flexible processes through recommendations based on history. In: Dumas, M., Reichert, M., Shan, M.-C. (eds.) BPM 2008. LNCS, vol. 5240, pp. 51–66. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  19. 19.
    Stoitsev, T., Scheidl, S., Spahn, M.: A framework for light-weight composition and management of ad-hoc business processes. In: Winckler, M., Johnson, H. (eds.) TAMODIA 2007. LNCS, vol. 4849, pp. 213–226. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  20. 20.
    UN/CEFACT: Core components technical specification – part 8 of the ebXML framework. Tech. rep., UN/CEFACT (2003)Google Scholar
  21. 21.
    Vanderfeesten, I.T.P., Reijers, H.A., van der Aalst, W.M.P.: Product based workflow support: Dynamic workflow execution. In: Bellahsène, Z., Léonard, M. (eds.) CAiSE 2008. LNCS, vol. 5074, pp. 571–574. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  22. 22.
    Wang, J., Kumar, A.: A framework for document-driven workflow systems. In: van der Aalst, W.M.P., Benatallah, B., Casati, F., Curbera, F. (eds.) BPM 2005. LNCS, vol. 3649, pp. 285–301. Springer, Heidelberg (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Christoph Dorn
    • 1
    • 3
  • César A. Marín
    • 2
  • Nikolay Mehandjiev
    • 2
  • Schahram Dustdar
    • 3
  1. 1.Institute for Software ResearchUniversity of CaliforniaIrvineUSA
  2. 2.Centre for Service ResearchUniversity of ManchesterManchesterUK
  3. 3.Distributed Systems GroupVienna University of TechnologyViennaAustria

Personalised recommendations