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A Probabilistic Framework for Vague Queries and Imprecise Information in Databases

Summary: Probabilistic model for vague queries and missing/imprecise data; yields a ranked object list, not a fixed answer. Vague predicates and relevance feedback refine rankings; probabilistic formulas extend predicates to handle missing/imprecise values. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7984
Venue
VLDB
Year
1990
Pagerank
0.00010873473
Overall Rank
1,697 | 88.20%
DOI
-

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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
450 The Theory Of Probabilistic Databases 1987 VLDB 0.00022822073
963 Null Values in Data Base Management: A Denotational Semantics Approach 1979 SIGMOD 0.00014980053
2,712 Query Processing in Deductive Databases with Incomplete Information 1986 SIGMOD 8.2488274e-05
4,515 Preferences: Putting More Knowledge into Queries 1987 VLDB 6.1192913e-05
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