Automatic rule-based assessment of e-government application forms

  • Authors:
  • Andy Hon Wai Chun

  • Affiliations:
  • Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong

  • Venue:
  • ACOS'07 Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6
  • Year:
  • 2007

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Abstract

This paper describes our current progress in designing and developing an AI rule-based module that automatically assesses e-Government application forms based on local laws and regulations. The rule-based module is part of a larger AI knowledge management (KM) system that is being designed to streamline the entire workflow processing for over a hundred different types of application forms that are handled by an Immigration agency. Each day, thousands of different types of application forms are submitted to this Government agency for processing, ranging from visas and identity cards to birth, death, and marriage certificate applications. Currently, this requires a substantially large workforce to manually process all the forms. This includes validating the data, collecting documents and then finally accessing whether the application can be approved or not. Our rule engine handles the difficult task of evaluating each application form to see if all legal regulations and guidelines have been met or not. This paper describes the design of this Assessment Rule Engine and how it works.