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All-Instances Restricted Chase Termination for Linear TGDs

Authors :
Tomasz Gogacz
Jerzy Marcinkowski
Andreas Pieris
Source :
Gogacz, T, Marcinkowski, J & Pieris, A 2020, ' All-Instances Restricted Chase Termination for Linear TGDs ', KI-Künstliche Intelligenz, vol. 34, no. 4, pp. 465-473 . https://doi.org/10.1007/s13218-020-00690-7
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

The chase procedure is a fundamental algorithmic tool in database theory with a variety of applications. A key problem concerning the chase procedure is all-instances chase termination: for a given set of tuple-generating dependencies (TGDs), is it the case that the chase terminates for every input database? In view of the fact that this problem is, in general, undecidable, it is natural to ask whether well-behaved classes of TGDs, introduced in different contexts, ensure decidability. It has been recently shown that the problem is decidable for the restricted (a.k.a. standard) version of the chase, and linear TGDs, a prominent class of TGDs that has been introduced in the context of ontological query answering, under the assumption that only one atom appears in TGD-heads. We provide an alternative proof for this result based on Monadic Second-Order Logic, which we believe is simpler that the ones obtained from the literature.

Details

ISSN :
16101987 and 09331875
Volume :
34
Database :
OpenAIRE
Journal :
KI - Künstliche Intelligenz
Accession number :
edsair.doi.dedup.....e3ac5fca1c09e71273d32c8280ee4526
Full Text :
https://doi.org/10.1007/s13218-020-00690-7