TY  - JOUR
AU  - Mahmoud, El Benany Med 
AU  - Omar, El Beqqali 
AU  - Ouksel, Aris M. 
PY  - 2019
TI  - Big Data Interoperability for E-Governance
JF  - Journal of Computer Science
VL  - 15
IS  - 10
DO  - 10.3844/jcssp.2019.1430.1438
UR  - https://thescipub.com/abstract/jcssp.2019.1430.1438
AB  - The notion of governance is innate to any society in the word. The use of big-data allow governance as a competitive advantage to attract resources, with the emergence of the social web and exponential data generated accordingly. Such social web and exponential data can be analyzed to give the enlightened human beings about the good governance and maintain an intelligent global state of mega cities. The government agencies should collect data from heterogeneous sources. To improve the services and applications, these agencies offer the citizens and businesses, through big data analytics, which is a global opportunity to integrate a large number of public databases together, fraud detection and tax control activities. The impact of big data on these e-government applications strives to facilitate better governance by demonstrating its use in research and practice. Therefore, the current paper zeroes in on an approach based on the interoperability and integration of big data. In our approach, such data is gathered from several separate and heterogeneous government sources.