Relational queries over interpreted structures

Author:

Benedikt Michael1,Libkin Leonid2

Affiliation:

1. Bell Lab., Naperville, IL

2. Bell Lab., Murray Hill, NJ

Abstract

We rework parts of the classical relational theory when the underlying domain is a structure with some interpreted operations that can be used in queries. We identify parts of the classical theory that go through 'as before' when interpreted structure is present, parts that go through only for classes of nicely behaved structures, and parts that only arise in the interpreted case. The first category include a number of results on language equivalence and expressive power characterizations for the active-domain semantics for a variety of logics. Under this semantics, quantifiers range over elements of a relational database. The main kind of results we prove here aregeneric collapseresults: for generic queries, adding operations beyond order, does not give us extra power.The second category includes results on the natural semantics, under which quantifiers range over the entire interpreted structure. We prove, for a variety of structures,natural-active collapseresults, showing that using unrestricted quantification does not give us any extra power. Moreover, for a variety of structures, including the real field, we give a set of algorithms for eliminating unbounded quantifications in favor of bounded ones. Furthermore, we extend these collapse results to a new class of higher-order logics that mix unbounded and bounded quantification. We give a set of normal forms for these logics, under special conditions on the interpreted structures. As a by-product, we obtain an elementary proof of the fact that parity test is not definable in the relational calculus with polynomial inequality constraints. We also give examples of structures with nice model-theoretic properties over which the natural-active collapse fails.

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Hardware and Architecture,Information Systems,Control and Systems Engineering,Software

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