Explainable and parsimonious Preference models to get the most out of Inconsistent Databases – EXPIDA
The EXPIDA project aims to provide database consumers with a rich family of explainable methods to handle imperfect (i.e., inconsistent and/or uncertain) data with the aim to assist the analysis of aviation incidents data, and therefore to improve the civil air flights safety. More explicitly, our aim is to equip our imperfection-tolerant reasoning system in databases with interactive explanations techniques in order to improve query answering and to help end-users realize query outputs.
Project coordination
Said Jabbour (Centre de Recherche en Informatique de Lens)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
Partner
ETIS CY Cergy Paris Université
CRIL Centre de Recherche en Informatique de Lens
LISN UPSaclay- Laboratoire Interdisciplinaire des Sciences du Numérique
TSP Telecom SudParis
Help of the ANR 521,219 euros
Beginning and duration of the scientific project:
February 2023
- 48 Months