Advertisement

Service for Crowd-Driven Gathering of Non-Discoverable Knowledge

  • Jim Laredo
  • Maja Vukovic
  • Sriram Rajagopal
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7221)

Abstract

Knowledge that cannot be discovered through automated methods, such as user practices, remains in informal mediums. It is unstructured, and in collective possession of the experts, yet it is key for business insights. Typically this “Non-Discoverable knowledge” is gathered in semi-automated way, which at best provides crude estimates, and doesn’t scale. In this paper, we describe our novel approach to rapidly design a process solution for a family of business objects, gathering required knowledge through the use of social networking to identify the experts. We propose a “Deconstructed Survey” that captures the knowledge request, and manages its lifecycle through task forwarding and sub-tasking. We developed the system BizRay, instantiating the proposed approach as a general-purpose, self-service Web-based, crowdsourcing service. We demonstrate its effectiveness in accelerating knowledge discovery, through our experiences with deployments for IT Optimization and Services Delivery.

Keywords

crowdsourcing service knowledge discovery people intensive business network social network exception handling rapid design 

References

  1. 1.
    Li, N., Kang, J., Lv, W.: A hybrid approach for dynamic business process mining based on reconfigurable nets and event type. In: ICEBE 2005 (2005)Google Scholar
  2. 2.
    van der Aalst, W., Weijters, T., Maruster, L.: Workflow mining: discovering process models from event logs. IEEE Transactions on Knowledge and Data Engineering 16(9), 1128–1142 (2004)CrossRefGoogle Scholar
  3. 3.
    Neumann, F., Robeller, A.: Enhanced audit log data analysis and query for BPEL processes with Process Choreographer 5.: IBM DeveloperWorks (2005), http://www.ibm.com/developerworks/websphere/library/techarticles/0503_neumann/0503_neumann.html
  4. 4.
    Vukovic, M., Lopez, M., Laredo, J.: PeopleCloud for the Globally Integrated Enterprise. In: Dan, A., Gittler, F., Toumani, F. (eds.) ICSOC/ServiceWave 2009. LNCS, vol. 6275, pp. 109–114. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  5. 5.
    Workflow Management Coalition, The Workflow Reference Model (1995)Google Scholar
  6. 6.
    Bobrow, D.G., Whalen, J.: Community Knowledge Sharing in Practice: The Eureka Story. Journal of the Society of Organizational Learning 4(2) (Winter 2002)Google Scholar
  7. 7.
    Kautz, H., Selman, B., Shah, M.: Referral Web: Combining Social Networks And Collaborative Filtering. Communications of ACM 40(3), 63–65 (1997)CrossRefGoogle Scholar
  8. 8.
    Bryant, S.L., Forte, A., Bruckman, A.: Becoming Wikipedian: transformation of participation in a collaborative online encyclopedia. In: GROUP 2005: Proceedings of the 2005 International ACM SIGGROUP (2005)Google Scholar
  9. 9.
    Amazon Mechanical Turk, http://www.mturk.com
  10. 10.
  11. 11.
  12. 12.
    Howe, J.: The Rise Of Crowdsourcing. Wired 14(6) (June 2006)Google Scholar
  13. 13.
    Ypodimatopoulos, P., Vukovic, M., Laredo, J., Rajagopal, S.: Server Hunt: Using Enterprise Social Networks for Knowledge Discovery in IT Inventory Management. In: SERVICES (2010)Google Scholar
  14. 14.
    Cohn, D., Dhoolia, P., Heath III, F., Pinel, F., Vergo, J.: Siena: From PowerPoint to Web App in 5 Minutes. In: Bouguettaya, A., Krueger, I., Margaria, T. (eds.) ICSOC 2008. LNCS, vol. 5364, pp. 722–723. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  15. 15.
    Ariely, D.: Upside of Irrationality. Harper (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jim Laredo
    • 1
  • Maja Vukovic
    • 1
  • Sriram Rajagopal
    • 2
  1. 1.IBM T.J. Watson Research CenterHawthorneUSA
  2. 2.IBM India Pvt. Ltd.ChennaiIndia

Personalised recommendations