Detecting clusters of relatedness between Countries-Indicators

CoyPu Knowledge Graph (KG) contains a huge amount of data about all the countries worldwide, including each country's performance based on thousands of indicators presented in the World Bank datasets. An indicator refers to a specific metric measuring a particular aspect of economic, social, or environmental development. We aim to detect communities of Country-Indicator and predict relationships between them. We follow a hybrid AI framework that employs inductive learning to identify a partitioning of nodes within a KG. The proposed framework comprises four design patterns describing the sub-systems that implement the tasks mentioned above toward solving the problem of detecting communities.