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Probabilistic Databases with an Infinite Open-World Assumption

Summary: Framework for open-world PDBs over countably infinite universes with finite instances, removing closed-world artifacts. Constructive existence/characterization of countable tuple-independent (and BID) PDBs; lift finite-query evaluation to obtain arbitrarily small additive approximations. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1743
Venue
PODS
Year
2019
Pagerank
5.1805044e-05
Overall Rank
6,151 | 57.26%
DOI
10.1145/3294052.3319681

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

Rank Cited Paper Year Venue Pagerank
300 Trio: A System for Data, Uncertainty, and Lineage 2006 VLDB 0.00028503742
322 MCDB: A Monte Carlo Approach to Managing Uncertain Data 2008 SIGMOD 0.00027523667
702 MYSTIQ: A system for finding more answers by using probabilities 2005 SIGMOD 0.00017848789
2,883 MayBMS: A Probabilistic Database Management System 2009 SIGMOD 7.9665191e-05
6,284 Probabilistic XML via Markov Chains 2010 VLDB 5.1232186e-05
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