Connecting Proof Theory and Knowledge Representation: Sequent Calculi and the Chase with Existential Rules

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Contributors

Abstract

Chase algorithms are indispensable in the domain of knowledge base querying, which enable the extraction of implicit knowledge from a given database via applications of rules from a given ontology. Such algorithms have proved beneficial in identifying logical languages which admit decidable query entailment. Within the discipline of proof theory, sequent calculi have been used to write and design proof-search algorithms to identify decidable classes of logics. In this paper, we show that the chase mechanism in the context of existential rules is in essence the same as proof-search in an extension of Gentzen's sequent calculus for first-order logic. Moreover, we show that proof-search generates universal models of knowledge bases, a feature also exhibited by the chase. Thus, we formally connect a central tool for establishing decidability proof-theoretically with a central decidability tool in the context of knowledge representation.

Details

Original languageEnglish
Title of host publicationProceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning
EditorsPierre Marquis, Tran Cao Son, Gabriele Kern-Isberner
PublisherIJCAI Inc
Pages769-773
Number of pages5
ISBN (electronic)9781956792027
Publication statusPublished - 2023
Peer-reviewedYes

External IDs

Scopus 85176796437
ORCID /0000-0003-3214-0828/work/173054739

Keywords

ASJC Scopus subject areas