8 papers · 1 filter
Combined Approximations for 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, which are built by applying a sequence of operations (e.g., fact…
Machine Learning-Augmented Ontology-Based Data Access for Renewable Energy Data
Marco Calautti, Damiano Duranti, Paolo Giorgini
Managing the growing data from renewable energy production plants for effective decision-making often involves leveraging Ontology-based Data Access (OBDA), a well-established appr…
Combined Approximations for 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, which are built by applying a sequence of operations (e.g., fact…
Querying Data Exchange Settings Beyond Positive Queries
Marco Calautti, Sergio Greco, Cristian Molinaro +1
Data exchange, the problem of transferring data from a source schema to a target schema, has been studied for several years. The semantics of answering positive queries over the ta…
Semi-Oblivious Chase Termination for Linear Existential Rules: An Experimental Study
Marco Calautti, Mostafa Milani, Andreas Pieris
The chase procedure is a fundamental algorithmic tool in databases that allows us to reason with constraints, such as existential rules, with a plethora of applications. It takes a…
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…