Abstract
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.
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© 2002 Kluwer Academic Publishers
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Bouguettaya, A., Ouzzani, M., Medjahed, B., Elmagarmid, A.K. (2002). Supporting Data and Services Access in Digital Government Environments. In: McIver, W.J., Elmagarmid, A.K. (eds) Advances in Digital Government. Advances in Database Systems, vol 26. Springer, Boston, MA. https://doi.org/10.1007/0-306-47374-7_2
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DOI: https://doi.org/10.1007/0-306-47374-7_2
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4020-7067-9
Online ISBN: 978-0-306-47374-6
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