An intelligent integrated e-Government framework: The case of Jordan

Source of Publication

Proceedings of the European Conference on e-Government, ECEG


This research develops a framework for e-governments that integrates personalization of services, such as intelligent software agents (ISA), integrating technologies, such as web services (WS) and Enterprise Service Bus (ESB), and data analytics such as data mining (DM) and business intelligence (BI). The paper focuses on government-to-citizen (G-to-C) model that seamlessly exchanges data and information among three citizen-based government services: passport, automobile, and civil services. Intelligent software agents will act as a liaison between users: namely citizens, management, and the databases. For citizens, the ISA will remind each citizen with timely-based, expiration-based, and requirements-based of these three activities. For the manager, ISA will activate data-mining/business intelligence request to query the database for patterns, trends, and predict certain unexpected flow of activities. This type of framework would enable countries to enter the fifth stage of e-government (networked), where data from every department is integrated together.

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Conference Proceeding



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