TY - GEN
T1 - Model-theoretic characterizations of existential rule languages
AU - Zhang, Heng
AU - Zhang, Yan
AU - Jiang, Guifei
PY - 2020
Y1 - 2020
N2 - ![CDATA[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 the class of arbitrary structures, and most of them also work on the class of finite structures. As a natural application of these results, complexity bounds for the rewritability of above languages are also identified.]]
AB - ![CDATA[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 the class of arbitrary structures, and most of them also work on the class of finite structures. As a natural application of these results, complexity bounds for the rewritability of above languages are also identified.]]
UR - https://hdl.handle.net/1959.7/uws:63356
UR - https://www.ijcai.org/proceedings/2020/269
M3 - Conference Paper
SN - 9780999241165
SP - 1940
EP - 1946
BT - Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI), January 7-15, 2021, online
PB - International Joint Conferences on Artificial Intelligence
T2 - International Joint Conference on Artificial Intelligence
Y2 - 7 January 2021
ER -