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Larry Gonzalez (Diskussion | Beiträge)
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{{Proceedings
{{Proceedings
|Title=15th Alberto Meldenzon International Workshop on Foundations of Data Management
|Title=Efficient Dependency Analysis for Existential Rules
|To appear=0
|To appear=0
|Year=2023
|Year=2023

Version vom 29. Mai 2023, 00:57 Uhr

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Larry Gonzalez, Alex Ivliev, Stephan Mennicke, Markus Krötzsch
Efficient Dependency Analysis for Existential Rules
, May 2023
  • KurzfassungAbstract
    This short paper reviews the main contributions of our recent work on static analysis of existential rules (a.k.a. tuple-generating dependencies). Between such rules, several kinds of logical relationships -- also called dependencies in an unfortunate clash of terminology -- are of interest, but their computation highly intractable. We develop new, optimised procedures for this task, and present a prototype implementation that scales to real-world inputs of more than 100,000 rules. This allows us to perform much faster acyclicity checks and to identify rule sets that admit efficient core computation via the standard chase.
  • Projekt:Project: CPECInnoSaleKIMEDSSECAIScaDS.AICfaed
  • Forschungsgruppe:Research Group: Wissensbasierte SystemeKnowledge-Based Systems
@proceedings{GIMK2023,
  author = {Larry Gonzalez and Alex Ivliev and Stephan Mennicke and Markus
            Kr{\"{o}}tzsch},
  title  = {Efficient Dependency Analysis for Existential Rules},
  year   = {2023},
  month  = {May}
}