Socio-environmental Spatial Data Reduction and Integration in Knowledge Graphs

Nowadays, more and more spatial data have become available at regional, national, and global levels. Interlinking and introducing them into a knowledge graph provides new possibilities in data analysis, given that knowledge graphs are powerful tools that can host structured or unstructured data from diverse sources and semantically align them. Various challenges exist for the integration of spatial data into knowledge graphs, considering the data heterogeneity, the lack of semantic description, the need for management of high data volumes, and the absence of qualitative data in many cases. Under this perspective, we present a set of methods for the efficient and qualitative integration of socio-environmental spatial data to the SustainGraph, a labeled property knowledge graph that hosts data related to the Sustainable Development Goals. Initial validation and analysis results are provided based on the population of the SustainGraph with specific socio-environmental data and the realization of spatial analysis for the area of Athens in Greece.