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Generative Datalog with Continuous Distributions

Summary: Foundational semantics for probabilistic Datalog based on stochastic kernels and Markov processes, enabling continuous distributions and resolving an open problem of Barany et al. Semantics is robust to parallel execution and arbitrary chase orders and generalizes to infinite probabilistic databases. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1790
Venue
PODS
Year
2020
Pagerank
5.2415551e-05
Overall Rank
6,003 | 58.24%
DOI
10.1145/3375395.3387659

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,158 Generative Datalog with Stable Negation 2023 PODS 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,158 Simulation of Database-Valued Markov Chains Using SimSQL 2013 SIGMOD 0.0001361064
2,331 Orion 2.0: Native Support for Uncertain Data 2008 SIGMOD 9.018559e-05
3,251 On Probabilistic Fixpoint and Markov Chain Query Languages 2010 PODS 7.3215694e-05
6,147 Probabilistic Databases with an Infinite Open-World Assumption 2019 PODS 5.1854833e-05
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