A new Best Paper Award has been given for DAGOBAH system at IC 2022, a collaborative research project developed by EURECOM Data Science Department from Sophia Antipolis in association with Orange Labs teams from Belfort and Rennes

Human activities produce a lot of raw data presented in the form of tables. To understand them quickly, EURECOM  and Orange are developing the DAGOBAH semantic annotation platform. DAGOBAH System performs automatic pre-processing and semantic interpretation of tables. It aims to deploy a generic solution used to optimize AI applications such as personal assistants, but also to promote the management of complex data sets of any company.

Congratulations to our researchers and to our partners!

Learn more about DAGOBAH system in this article!

Viet-Phi Huynh, Jixiong Liu, Yoan Chabot, Frédéric Deuzé, Thomas Labbé, Pierre Monnin, Raphaël Troncy

DAGOBAH : Annotation sémantique de données tabulaires par comparaison du contexte des tables et d’un graphe de connaissances, page 10-19 : https://ci.mines-stetienne.fr/pfia2022/conferences/ic/Articles/Actes-IC-PFIA-2022.pdf