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Scalable Probabilistic Databases with Factor Graphs and MCMC

Summary: Single-world relational DB paired with a dynamic factor graph encoding a distribution over possible worlds; MCMC provides adjustable-fidelity probabilistic inference. Incremental query evaluation via view maintenance touches only changing regions, enabling scalable aggregation and missing-content inference with parallelism. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10126
Venue
VLDB
Year
2010
Pagerank
9.3378109e-05
Overall Rank
2,186 | 84.80%
DOI
-

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