Integrity Constraints for General-Purpose Knowledge Bases

TL;DR

This paper extends the concept of integrity constraints from traditional databases to multi-context systems, enabling consistency guarantees across heterogeneous reasoning frameworks.

Contribution

It introduces a generalized notion of integrity constraints tailored for multi-context systems, bridging database concepts with reasoning frameworks.

Findings

Defines a formal framework for integrity constraints in multi-context systems

Demonstrates how constraints ensure system consistency

Provides theoretical foundations for applying database constraints to reasoning systems

Abstract

Integrity constraints in databases have been studied extensively since the 1980s, and they are considered essential to guarantee database integrity. In recent years, several authors have studied how the same notion can be adapted to reasoning frameworks, in such a way that they achieve the purpose of guaranteeing a system's consistency, but are kept separate from the reasoning mechanisms. In this paper we focus on multi-context systems, a general-purpose framework for combining heterogeneous reasoning systems, enhancing them with a notion of integrity constraints that generalizes the corresponding concept in the database world.