Form Annotation Framework for Form-Based Process Automation

  • Sung Wook Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7652)


Simple form of annotations, such as tagging, are proven to be helpful to end users in organising and managing large amount of resources (e.g., photos, documents). In this paper, we take a first step in applying annotation to forms to explore potential benefits of helping people with little or no technical background to automate the form-based processes. An analysis of real-world forms was conducted to design algorithms for tag recommendations and our initial evaluation suggests that useful tag recommendation can be generated based on the contents and the metadata of the forms. We also briefly present EzyForms, a framework for supporting form-based processes. The architecture supports an end-to-end lifecycle of forms, starting from its creation, annotation, and ultimately to its execution in a process.


Form User Personal Detail Text Label Soap Message Regular Position 
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.


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  1. 1.
    Ames, M., Naaman, M.: Why We Tag: Motivations for Annotation in Mobile and Online Media. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2007, San Jose, California, USA, p. 971 (2007)Google Scholar
  2. 2.
    Cattuto, C., Loreto, V., Pietronero, L.: Semiotic dynamics and collaborative tagging. Proceedings of the National Academy of Sciences 104, 1461–1464 (2007)CrossRefGoogle Scholar
  3. 3.
    Golder, S., Huberman, B.A.: The structure of collaborative tagging systems. Technical report, HP Labs (2005)Google Scholar
  4. 4.
    Nov, O., Ye, C.: Why do people tag? motivations for photo tagging. Communications of the ACM 53, 128 (2010)CrossRefGoogle Scholar
  5. 5.
    Sen, S., Lam, S.K., Rashid, A.M., Cosley, D., Frankowski, D., Osterhouse, J., Harper, F.M., Riedl, J.: Tagging, communities, vocabulary, evolution. In: Proceedings of the 2006 20th Anniversary Conference on Computer Supported Cooperative Work, CSCW 2006, Banff, Alberta, Canada, p. 181 (2006)Google Scholar
  6. 6.
    Sigurbjörnsson, B., van Zwol, R.: Flickr tag recommendation based on collective knowledge. In: Proceeding of the 17th International Conference on World Wide Web, WWW 2008, Beijing, China, p. 327 (2008)Google Scholar
  7. 7.
    Girgensohn, A., Adcock, J., Cooper, M., Foote, J., Wilcox, L.: Simplifying the management of large photo collections. In: Proceedings of INTERACT 2003, pp. 196–203. IOS Press (2003)Google Scholar
  8. 8.
    Kuchinsky, A., Pering, C., Creech, M.L., Freeze, D., Serra, B., Gwizdka, J.: FotoFile: A Consumer Multimedia Organization and Retrieval System. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 1999, Pittsburgh, Pennsylvania, United States, pp. 496–503 (1999)Google Scholar
  9. 9.
    Shneiderman, B., Kang, H.: Direct annotation: a drag-and-drop strategy for labeling photos. In: IEEE International Conference on Information Visualization, London, UK, pp. 88–95 (2000)Google Scholar
  10. 10.
    Marlow, C., Naaman, M., Boyd, D., Davis, M.: HT06, tagging paper, taxonomy, flickr, academic article, to read. In: Proceedings of the Seventeenth Conference on Hypertext and Hypermedia, HYPERTEXT 2006, Odense, Denmark, p. 31 (2006)Google Scholar
  11. 11.
    Weber, I.M., Paik, H.Y., Benatallah, B., Gong, Z., Zheng, L., Vorwerk, C.: FormSys: Form-processing Web Services. In: Proceedings of the 19th International Conference on World Wide Web, WWW 2010, Raleigh, North Carolina, USA, p. 1313 (2010)Google Scholar
  12. 12.
    Larson, P.: BPM Suites and the Long Tail of Process Automation (2005),
  13. 13.
    Sabou, M., Wroe, C., Goble, C., Mishne, G.: Learning domain ontologies for web service descriptions. In: Proceedings of the 14th International Conference on World Wide Web, WWW 2005, Chiba, Japan, p. 190 (2005)Google Scholar
  14. 14.
    Kungas, P., Dumas, M.: Cost-Effective semantic annotation of XML schemas and web service interfaces. In: 2009 IEEE International Conference on Services Computing, Bangalore, India, pp. 372–379 (2009)Google Scholar
  15. 15.
    Microsoft SharePoint,
  16. 16.
    Liferay Social Office and Portal,
  17. 17.
  18. 18.
    SAP Gravity,

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Sung Wook Kim
    • 1
  1. 1.School of Computer Science and EngineeringUniversity of New South WalesSydneyAustralia

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