2 papers
cs.AI2026
Discovering Relationships in Data Lakes Using Large Language Models: An Industrial Case
Ahlame Diouan, Eric Ferey, Sabine Loudcher +1
Data lakes rely on metadata to remain usable, yet this meta data is often limited or weakly informative for column relationship discovery, especially in ERP-derived datasets with c…
cs.DB2025
Experiversum: an Ecosystem for Curating and Enhancing Data-Driven Experimental Science
Genoveva Vargas-Solar, Umberto Costa, Jérôme Darmont +6
This paper introduces Experiversum, a lakehouse-based ecosystem that supports the curation, documentation and reproducibility of exploratory experiments. Experiversum enables struc…