Knowledge graphs for transport emissions concerning meteorological conditions

The paper is focused on the concept of a Smart City and its domains and ontologies where a knowledge graph for the presentation of different links and dependencies is used. The illustrative example deals with the correlation between transportation, air pollution, and atmospheric conditions. The gained results confirmed the effectiveness of Knowledge graphs for a deep understanding of the correlations among heterogeneous variables for Prague. The future results can be used as a practical tool for monitoring of city's sustainability and resiliency.