EnRG allows you to discover more about your favourite topics. Search for any Wikipedia topic and explore a rich graph of related topics; use facets and filters to narrow your search. EnRG (Entity Relatedness Graph) implements a knowledge graph by use of distributional semantics to obtain relatedness scores between all Wikipedia topics (concepts, entities). The EnRG implementation requires around 17 trillion such computations.
This project is brought to you by the Unit of Natural Language Processing at the Insight Centre for Data analytics
This resource has been funded by Science Foundation Ireland under Grant No. SFI/08/CE/I1380 (Lion-2) and by Grant No. SFI/12/RC/2289 (INSIGHT)
INSIGHT - National University of Ireland, Galway