Meghyn Bienvenu, CNRS, University of Bordeaux
18 December 2020, 10:30-11:30
Online seminar: https://bbb.di.ens.fr/b/cam-pz6-kdj
Preferred repairs over inconsistent knowledge bases and connections to argumentation
A fundamental notion when reasoning over inconsistent knowledge bases is that of a repair, defined as a maximal subset of the data that is consistent w.r.t. the expressed knowledge. Various forms of preferred repairs have been introduced for identifying the most relevant repairs based upon information about the reliability of different facts. In this talk, we will introduce the different kinds of preferred repairs that have been proposed in the database and knowledge representation literatures and review what is known about the complexity of reasoning with such repairs. We will also present some interesting connections with the area of abstract argumentation, which inspired a new notion of preferred repair with desirable computational properties.
This talk is primarily based upon a KR 2020 paper co-authored with Camille Bourgaux.
Bio:
Meghyn Bienvenu is a CNRS researcher and member of the LaBRI laboratory at the University of Bordeaux.
Her research interests span a range of topics in knowledge representation and reasoning and database theory, with a main focus on description logic ontologies and their use in querying data. She currently leads an ANR AI Chair on the topic of intelligent handling of imperfect data. Bienvenu is an associate editor of ACM Transactions on Computational Logic and will serve as PC co-chair for KR 2021, the leading conference on knowledge representation and reasoning. Her research has been recognized by an invited Early Career Spotlight talk at IJCAI’16, the world’s premier AI conference, and the 2016 CNRS Bronze Medal in the area of computer science.
