Mathematics, rightly viewed, possesses not only truth, but supreme beauty -a beauty cold and austere, like that of sculpture.Bertrand Russell (1872Russell ( -1970 AbstractWe study the termination problem of the chase algorithm, a central tool in various database problems such as the constraint implication problem, conjunctive query optimization, rewriting queries using views, data exchange, and data integration. The basic idea of the chase is, given a database instance and a set of constraints as input, to x constraint violations in the database instance. It is well-known that for an arbitrary set of constraints the chase does not necessarily terminate (in general, it is even undecidable if it does or not). Addressing this issue, we review the limitations of existing sucient termination conditions for the chase and develop new techniques that allow us to establish weaker sucient conditions. For the rst time in the literature, we develop methods that allow us to ensure the termination of at least one chase sequence and not necessarily of all. We then study the interrelations of our termination conditions with previous conditions and the complexity of checking them. This analysis leads to an algorithm that reduces the complexity of checking our termination conditions. As another contribution, we study the problem of data-dependent chase termination and present sucient termination conditions with respect to xed instances. They might guarantee termination when our data-independent techniques cannot.As applications of our techniques beyond those already mentioned, we transfer our results into the eld of semantic query optimization in the presence of types and develop the theory of rule-based minimization under constraints.xiii