Our project was present at the BDA 2021 conference with two short papers, a PhD paper, and a demonstration:
- “Efficiently identifying pseudo-nulls in heterogeneous text data” authored by Théo Bouganim, Helena Galhardas and Ioana Manolescu.
- “Toward Generic Abstractions for Data of Any Model” authored by Nelly Barret, Ioana Manolescu and Prajna Upadhyay.
- “Discovering Conflicts of Interest across Heterogeneous Data Sources with ConnectionLens” by Angelos-Christos Anadiotis, Oana Balalou, Théo Bouganim, Francesco Chimienti, Helena Galhardas, Yamen Haddad, Stéphane Horel, Ioana Manolescu, Youssr Youssef
- “Facilitating Heterogeneous Dataset Understanding” by Nelly Barret
