You're currently viewing an old version of this dataset. To see the current version, click here.

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.

Data and Resources

Cite this as

Ariam Rivas, (2024). Dataset: Detecting clusters of relatedness between Countries-Indicators. https://doi.org/10.57702/1ndl6lnk

DOI retrieved: July 16, 2024

Additional Info

Field Value
Created July 16, 2024
Last update July 16, 2024
License notspecified: License not specified
Source https://github.com/SDM-TIB/CoyPU_demo_LDM/tree/main/Visualizing_Cluster
Author Ariam Rivas
More Authors