A Single Approach to Decide Chase Termination on Linear Existential Rules
Michel Leclere, Marie-Laure Mugnier, Michael Thomazo, Federico Ulliana

TL;DR
This paper proves that the chase termination problem for linear existential rules is decidable across three variants, using a unified approach based on derivation trees and forbidden patterns, advancing understanding in ontology-based query answering.
Contribution
It introduces a novel unified method for deciding chase termination on linear existential rules, including the first positive results for the restricted chase variant.
Findings
Decidability of chase termination on linear rules for semi-oblivious, restricted, and core variants.
Introduction of derivation trees and forbidden patterns as key tools.
First positive decidability results for the restricted chase termination.
Abstract
Existential rules, long known as tuple-generating dependencies in database theory, have been intensively studied in the last decade as a powerful formalism to represent ontological knowledge in the context of ontology-based query answering. A knowledge base is then composed of an instance that contains incomplete data and a set of existential rules, and answers to queries are logically entailed from the knowledge base. This brought again to light the fundamental chase tool, and its different variants that have been proposed in the literature. It is well-known that the problem of determining, given a chase variant and a set of existential rules, whether the chase will halt on any instance, is undecidable. Hence, a crucial issue is whether it becomes decidable for known subclasses of existential rules. In this work, we consider linear existential rules, a simple yet important subclass of…
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Taxonomy
TopicsSemantic Web and Ontologies · Advanced Database Systems and Queries · Data Management and Algorithms
