Abstract: The exponential growth in technological innovation is driven in large part by the digitization of multiple domains and assumes environments of increasing data volumes, arriving at high velocity and variety. e-Government is one such domain that exploits current ICT innovations to improve the delivery of public services to its citizens, businesses, and other stakeholders This imposes to continuously maintain information on daily operations, activities, and assets as well as extensive profiles on citizens, institutions, and organizations. In addition, current centralized platform-based approaches suffer from the single-point-of-failure, which may result in data breaches and leakages, leading to the need for efficient robust mechanisms to ensure secure information sharing, data interoperability, and privacy. In this paper, we propose a business intelligence approach to design a data interoperability framework for e-governance based on data warehousing technology to improve transparency and data accessibility. We also present a hybrid data filtering mechanism, which relies both on the Extraction, Transformation, and Loading (ETL) process, and multi-agent technology to integrate data quality and data interoperability, and supports data transformation into human-readable format. Finally, the framework emphasizes the availability of materialized views to enable efficient execution of analytical queries directly on the large volumes of raw data in the data warehouse.

Barakat Oumkaltoum, El beqqali Omar, Ouksel Aris and Chakir Loqman, “Hybrid e-Government Framework based on Datawarehousing and MAS for Data Interoperability” International Journal of Advanced Computer Science and Applications(IJACSA), 12(10), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0121008

@article{Oumkaltoum2021,
title = {Hybrid e-Government Framework based on Datawarehousing and MAS for Data Interoperability},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0121008},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0121008},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {10},
author = {Barakat Oumkaltoum and El beqqali Omar and Ouksel Aris and Chakir Loqman}
}