Dynamic composition of workflows for customized eGovernment service delivery

  • Authors:
  • Soon Ae Chun;Vijayalakshmi Atluri;Nabil R. Adam

  • Affiliations:
  • Rutgers University, Newark NJ;Rutgers University, Newark NJ;Rutgers University, Newark NJ

  • Venue:
  • dg.o '02 Proceedings of the 2002 annual national conference on Digital government research
  • Year:
  • 2002

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Abstract

Today, many government agencies provide tremendous amount of information and services via the Web, often overwhelming the citizens. Personalization and customization in delivering information and government services remains as a major challenge. In this paper, we present a novel approach for dynamically composing workflows to delivering customized government services to citizens. Such a system is especially important in a government service delivery due to the fact that many autonomous government agencies are involved in providing parts of this service. As a consequence, citizens are often required to first identify these components of the desired service and contact the agencies independently to obtain the needed services. Our proposed system dynamically composes the inter-agency service as well as the related information, tailored to needs of a citizen, by identifying, integrating and coordinating individual components that constitute this service. Our system achieves customized generation of workflows by specifying governmental regulations as a Condition-Action Rule Base to identify the component services. The rule base is a collection of statements about regulatory, functional, geographical and temporal regulations that an inter-agency service needs to adhere to. Our prototype system which also includes visualization of the regulations along with the customization, has been submitted as System Demo paper to this workshop.