Model-theoretic Characterizations of Existential Rule Languages
January 23, 2020 Β· Declared Dead Β· π International Joint Conference on Artificial Intelligence
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Authors
Heng Zhang, Yan Zhang, Guifei Jiang
arXiv ID
2001.08688
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.DB,
cs.LO
Citations
3
Venue
International Joint Conference on Artificial Intelligence
Last Checked
3 months ago
Abstract
Existential rules, a.k.a. dependencies in databases, and Datalog+/- in knowledge representation and reasoning recently, are a family of important logical languages widely used in computer science and artificial intelligence. Towards a deep understanding of these languages in model theory, we establish model-theoretic characterizations for a number of existential rule languages such as (disjunctive) embedded dependencies, tuple-generating dependencies (TGDs), (frontier-)guarded TGDs and linear TGDs. All these characterizations hold for arbitrary structures, and most of them also work on the class of finite structures. As a natural application of these characterizations, complexity bounds for the rewritability of above languages are also identified.
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