3 papers
cs.AI2024
KGPrune: a Web Application to Extract Subgraphs of Interest from Wikidata with Analogical Pruning
Pierre Monnin, Cherif-Hassan Nousradine, Lucas Jarnac +2
Knowledge graphs (KGs) have become ubiquitous publicly available knowledge sources, and are nowadays covering an ever increasing array of domains. However, not all knowledge repres…
cs.AI2024
Uncertainty Management in the Construction of Knowledge Graphs: a Survey
Lucas Jarnac, Yoan Chabot, Miguel Couceiro
Knowledge Graphs (KGs) are a major asset for companies thanks to their great flexibility in data representation and their numerous applications, e.g., vocabulary sharing, Q/A or re…
cs.AI2023
Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning
Lucas Jarnac, Miguel Couceiro, Pierre Monnin
Knowledge Graph Construction (KGC) can be seen as an iterative process starting from a high quality nucleus that is refined by knowledge extraction approaches in a virtuous loop. S…