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On the finite controllability of conjunctive query answering in databases under open-world assumption
Authors:Riccardo Rosati
Affiliation:Dipartimento di Informatica e Sistemistica, Sapienza Università di Roma, Via Ariosto 25, 00185 Roma, Italy;Pontificia Universidad Católica de Chile Escuela de Ingenieria - DCC143 Casilla 306 Santiago 22, Chile Email: marenas@ing.puc.cl Phone: (56-2) 354 5821;Oxford University Computing Laboratory Wolfson Building Parks Road OXFORD OX1 3QD UK Phone: +44 1865 283504 Email: georg.gottlob@comlab.ox.ac.uk
Abstract:In this paper we study queries over relational databases with integrity constraints (ICs). The main problem we analyze is OWA query answering, i.e., query answering over a database with ICs under open-world assumption. The kinds of ICs that we consider are inclusion dependencies and functional dependencies, in particular key dependencies; the query languages we consider are conjunctive queries and unions of conjunctive queries. We present results about the decidability of OWA query answering under ICs. In particular, we study OWA query answering both over finite databases and over unrestricted databases, and identify the cases in which such a problem is finitely controllable, i.e., when OWA query answering over finite databases coincides with OWA query answering over unrestricted databases. Moreover, we are able to easily turn the above results into new results about implication of ICs and query containment under ICs, due to the deep relationship between OWA query answering and these two classical problems in database theory. In particular, we close two long-standing open problems in query containment, since we prove finite controllability of containment of conjunctive queries both under arbitrary inclusion dependencies and under key and foreign key dependencies. The results of our investigation are very relevant in many research areas which have recently dealt with databases under an incomplete information assumption: e.g., data integration, data exchange, view-based information access, ontology-based information systems, and peer data management systems.
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