1 citations · 2 across the 3 of their papers we have counts for
3 papers
The Complexity of Why-Provenance for Datalog Queries
Marco Calautti, Ester Livshits, Andreas Pieris +1
Explaining why a database query result is obtained is an essential task towards the goal of Explainable AI, especially nowadays where expressive database query languages such as Da…
Uniform Operational Consistent Query Answering
Marco Calautti, Ester Livshits, Andreas Pieris +1
Operational consistent query answering (CQA) is a recent framework for CQA, based on revised definitions of repairs and consistent answers, which opens up the possibility of effici…
Exact and Approximate Counting of Database Repairs
Marco Calautti, Ester Livshits, Andreas Pieris +1
A key task in the context of consistent query answering is to count the number of repairs that entail the query, with the ultimate goal being a precise data complexity classificati…