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Form Annotation Framework for Form-Based Process Automation

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

Abstract

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.

Keywords

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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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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