Obtaining Complete Answers from Incomplete Databases
Summary: A sound-and-complete framework reduces query-answer completeness over partially known relations to query independence from updates. It yields polynomial-time decisions for conjunctive comparison updates, checks completeness in the current instance, and extends to partially incorrect databases. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Alon Y. Levy (AT&T)
BibTeX Citation
@article{levy_vldb96,
title = {{Obtaining Complete Answers from Incomplete Databases}},
author = {Levy, Alon Y.},
journal = {PVLDB},
series = {{VLDB} '96},
pages = {402},
year = {1996}
}
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