Supporting Data and Services Access in Digital Government Environments

We describe a Web-based architecture, named WebDG, to support emerging Digital Government applications. We use anontological approach to organize government data and services (applications). The data space is segmented into logically inter-related clusters of databases to accelerate metadata and data discovery. Equally, services are segmented into vocabulary-based taxonomies to provide a fast mechanism for their retrieval and enactment. As a proof of concept, we use government social services, namely, the Indiana Family and Social Services Administration (FSSA), as a case study for the deployment of our novel techniques. The implementation uses several state-of-the-art, Web-based middleware and e-services technologies as building blocks for WebDG. These include, CORBA, EJB, and HP’s e-speakproducts.