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On the semantics and evaluation of top-k queries in probabilistic databases
Xi Zhang; Chomicki, J.;
Data Engineering Workshop, 2008. ICDEW 2008. IEEE 24th International Conference on
7-12 April 2008
Page(s):556
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563
Abstract:
We formulate three intuitive semantic properties for top-k queries in probabilistic databases, and propose Global-Topk query semantics which satisfies all of them. We provide a dynamic programming algorithm to evaluate top-k queries under Global-Topk in simple probabilistic relations. For general probabilistic relations, we show a polynomial reduction to the simple case. Our analysis shows that the complexity of query evaluation is linear in k and at most quadratic in database size.
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