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Foundations of Probabilistic Answers to Queries

Summary: Probabilistic query answering as a new data-management paradigm for diverse applications, where membership in the answer is a probability, not boolean. Foundations grounded in random graphs and 0/1 laws from finite model theory, linking theory to practical probabilistic querying. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3731
Venue
SIGMOD
Year
2005
Pagerank
8.5402003e-05
Overall Rank
2,560 | 82.20%
DOI
-

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