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arXiv · 1304.4303

Learning and Verifying Quantified Boolean Queries by Example

Azza Abouzied·Dana Angluin·Christos Papadimitriou·Joseph M. Hellerstein·Avi Silberschatz
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Abstract

To help a user specify and verify quantified queries --- a class of database queries known to be very challenging for all but the most expert users --- one can question the user on whether certain data objects are answers or non-answers to her intended query. In this paper, we analyze the number of questions needed to learn or verify qhorn queries, a special class of Boolean quantified queries whose underlying form is conjunctions of quantified Horn expressions. We provide optimal polynomial-question and polynomial-time learning and verification algorithms for two subclasses of the class qhorn with upper constant limits on a query's causal density.

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Azza Abouzied, Dana Angluin, Christos Papadimitriou, Joseph M. Hellerstein, Avi Silberschatz. 2013-04-16. Learning and Verifying Quantified Boolean Queries by Example. https://arxiv.org/abs/1304.4303

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