Abstract
Statistical data is often used as the foundations for policy prediction,planning and adjustments, and therefore has a significant impact on the society(from citizens to businesses to governments).Linked Data paradigm has openednew possibilities and perspectives for the process of collecting and monitoringsocio-economic indicators. This paper contributes to the understanding of chal-lenges related to publishing and consuming public sector information. Itpresents several illustrative examples of modeling, analyzing and visualizationof Linked statistical data from Serbian government bodies. The approach uti-lizes tools from the LinkedData Stack, as well as the first prototype of the Ex-ploratory Spatio-Temporal Analysis component that has been elaborated inmore details in this paper.
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