Linked Data Analytics in Interdisciplinary Studies: The Health Impact of Air Pollution in Urban Areas

Abstract

The design of solutions that are able to exploit the available data collected in smart cities environments can lead to insights that can guide the implementation of approaches that have the potential to significantly improve the quality of life within a city. Such solutions include tools for the production of advanced analytics considering data fusion challenges. The preparation of qualitative input data sets, collected in many cases through heterogeneous sources and represented in various formats, constitute a very important step toward a meaningful analysis. Such input data sets, combined with approaches that reduce the data processing burden and support the easy and flexible-in terms of configuration-replication of an analysis, can lead to the next generation analytics tools. In this paper, a novel approach toward the production and consumption of linked data analytics in urban environments is presented. The approach is based on the exploitation of linked data principles, enhancing the ability of managing and processing of data, in ways not available before. In addition to the description of the overall technical approach, the application of the proposed solution into a real-life scenario for examining the health impact of outdoor air pollution in urban areas within an international, national, and regional perspective is detailed. A set of interesting results are produced along with their interpretation toward the provision of suggestions for policy making purposes.

Keywords

• open data
• linked data
• linked data analytics
• urban analytics
• data mining
• outdoor air pollution