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Restricted Chase Termination for Existential Rules: A Hierarchical Approach and Experimentation

Published online by Cambridge University Press:  30 June 2020

ARASH KARIMI Open the ORCID record for ARASH KARIMI [Opens in a new window] ,
HENG ZHANG  and
JIA-HUAI YOU
ARASH KARIMI
Affiliation:
Department of Computing Science, University of Alberta, Edmonton, Canada, (e-mail: akarimi@ualberta.ca)
HENG ZHANG
Affiliation:
College of Intelligence and Computing, Tianjin University, Tianjin, China, (e-mail: h.zhang@hotmail.com)
JIA-HUAI YOU
Affiliation:
Department of Computing Science, University of Alberta, Edmonton, Canada, (e-mail: jyou@ualberta.ca)
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Abstract

The chase procedure for existential rules is an indispensable tool for several database applications, where its termination guarantees the decidability of these tasks. Most previous studies have focused on the skolem chase variant and its termination analysis. It is known that the restricted chase variant is a more powerful tool in termination analysis provided a database is given. But all-instance termination presents a challenge since the critical database and similar techniques do not work. In this paper, we develop a novel technique to characterize the activeness of all possible cycles of a certain length for the restricted chase, which leads to the formulation of a framework of parameterized classes of the finite restricted chase, called $k$-$\mathsf{safe}(\Phi)$ rule sets. This approach applies to any class of finite skolem chase identified with a condition of acyclicity. More generally, we show that the approach can be applied to the hierarchy of bounded rule sets previously only defined for the skolem chase. Experiments on a collection of ontologies from the web show the applicability of the proposed methods on real-world ontologies.

Keywords

existential rulesontological reasoningtermination analysiscomplexity of reasoning
Type
Original Article
Information
Theory and Practice of Logic Programming , Volume 21 , Issue 1: Special Issue on Logic Rules and Reasoning: Selected Papers from the 2nd International Joint Conference on Rules and Reasoning (RuleML+RR 2018) , January 2021 , pp. 4 - 50
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Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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