Modeling, fusion and exploration of regional statistics and indicators with linked data tools

Abstract

This paper contributes to the understanding of challenges related to publishing and consuming public sector information using Linked Data tools. Linked Data paradigm has opened new possibilities and perspectives for the process of collecting and monitoring socio-economic indicators. Due to multidimensionality of the statistical data, in order to ensure efficient exploration and analysis, hierarchical data structures are needed for modeling the space and time dimensions. This paper presents several illustrative examples of modeling, analyzing and visualization of Linked Data from Serbian government bodies. The approach utilizes tools from the Linked Data stack, as well as the first prototype of the Exploratory Spatio-Temporal Analysis component that has been developed in the GeoKnow project framework. © 2014 Springer International Publishing.