Knowledge Graph Pruning

KGPrune aims at extracting a subgraph of Wikidata related to input entities of interest to you. In particular, our approach starts from such seed entities, and keeps or prunes their neighboring entities. This process allows you to extract a subgraph of Wikidata related to your domains of interest. Such a subgraph can then be used, e.g., as a high-quality nucleus to bootstrap the construction of a new knowledge graph, or as a supporting structure for knowledge extraction or mining approaches.

Graph images

Demos KG Pruning

Via Browser Via API

More Information and Citation

Lucas Jarnac, Miguel Couceiro, Pierre Monnin: Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning. CIKM 2023: 934-944 [paper]

Contact us

kgprune@inria.fr