Modeling, Fusion and Exploration of Regional Statistics and Indicators with Linked Data tools
Electronic Government and the Information Systems Perspective, LNCS Vol. 8650, Springer, (2014)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.