A Semantic Analysis Prototype for Distributed Syrian Government Data

The COVID-2019 pandemic has exposed the importance of government data analysis in responding to such emergencies, but at the same time, government data seemed unprepared to meet the requirements of the case, due to the privacy, distribution, and heterogeneous nature of government data. Through this research, we draw the government's attention to the importance of this matter, and present a proposal that adopts the best practices and standards to achieve this purpose. In the first phase (the objective of this paper) we outline the regulation rules of the data analysis life-cycle through our proposed prototype which relies on semantic web and natural language processing techniques. In the second phase, we develop the model's algorithms like semantic indexing, graph capturing and the other model units. We take into account the privacy of the Arabic language due to its complex nature, which means that English language tools will not work efficiently with the Arabic language. In addition, there is a lack of technical resources and research works.