Abstract | ||
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Certain answers are a widely accepted semantics of query answering over incomplete databases. As their computation is a coNP-hard problem, recent research has focused on developing (polynomial time) evaluation algorithms with correctness guarantees, that is, techniques computing a sound but possibly incomplete set of certain answers. The aim is to make the computation of certain answers feasible in practice, settling for under-approximations. |
Year | DOI | Venue |
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2019 | 10.1016/j.is.2019.03.010 | Information Systems |
Keywords | Field | DocType |
Incomplete database,Certain query answer,Approximation algorithm | Approximation algorithm,Data mining,Suite,Computer science,Correctness,Time complexity,Semantics,Database,Data complexity,Computation | Journal |
Volume | ISSN | Citations |
86 | 0306-4379 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sergio Greco | 1 | 1249 | 265.35 |
Cristian Molinaro | 2 | 126 | 28.71 |
Irina Trubitsyna | 3 | 119 | 24.66 |