From Causes for Database Queries to Repairs and Model-Based Diagnosis and Back
This work bridges theoretical concepts in databases and knowledge representation, offering incremental insights for researchers in these fields.
The paper establishes connections between causes for query answers, database repairs, and consistency-based diagnosis, enabling the application of existing repair research to causality problems and yielding new algorithmic and complexity results.
In this work we establish and investigate connections between causes for query answers in databases, database repairs wrt. denial constraints, and consistency-based diagnosis. The first two are relatively new research areas in databases, and the third one is an established subject in knowledge representation. We show how to obtain database repairs from causes, and the other way around. Causality problems are formulated as diagnosis problems, and the diagnoses provide causes and their responsibilities. The vast body of research on database repairs can be applied to the newer problems of computing actual causes for query answers and their responsibilities. These connections, which are interesting per se, allow us, after a transition -inspired by consistency-based diagnosis- to computational problems on hitting sets and vertex covers in hypergraphs, to obtain several new algorithmic and complexity results for database causality.