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Automating Form-Based Processes through Annotation

  • Sung Wook Kim
  • Hye-Young Paik
  • Ingo Weber
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7636)

Abstract

Despite all efforts to support processes through IT, processes based on paper forms are still prevalent. In this paper, we propose a cost-effective and non-technical approach to automate form-based processes. The approach builds on several types of annotations: to help collect and distribute information for form fields; to choose appropriate process execution paths; and to support email distribution or approval for filled forms. We implemented the approach in a prototype, called EzyForms. We conducted a user study with 15 participants, showing that people with little technical background were able to automate the existing form-based processes efficiently.

Keywords

User Study Recommendation Algorithm Form Annotation Form Owner Business Process Management System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Kim, S.W., Paik, H.Y., Weber, I.: Automating Form-based Processes through Annotation. Technical Report 201221, School of Computer Science and Engineering, The University of New South Wales (2012), ftp://ftp.cse.unsw.edu.au/pub/doc/papers/UNSW/201221.pdf
  2. 2.
    Weber, I., Paik, H.Y., Benatallah, B., Gong, Z., Zheng, L., Vorwerk, C.: FormSys: Form-processing Web Services. In: WWW 2010, pp. 1313–1316 (2010)Google Scholar
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    Cattuto, C., Loreto, V., Pietronero, L.: Semiotic Dynamics and Collaborative Tagging. Proceedings of the National Academy of Sciences 104, 1461–1464 (2007)CrossRefGoogle Scholar
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    Golder, S.A.: Usage Patterns of Collaborative Tagging Systems. Journal of Information Science 32, 198–208 (2006)CrossRefGoogle Scholar
  5. 5.
    Kim, S.W.: Form annotation framework for long tail process automation. In: Workshop on User-Focused Service Engineering, Consumption and Aggregation (to be published in 2012) (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Sung Wook Kim
    • 1
  • Hye-Young Paik
    • 1
  • Ingo Weber
    • 1
    • 2
  1. 1.School of Computer Science & EngineeringUniversity of New South WalesAustralia
  2. 2.Software Systems Research GroupNICTASydneyAustralia

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