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E. Zimányi. Query Evaluation in Probabilistic Databases. Theoretical Computer Science, 171(1-2):179-219, 1997.

Abstract

This paper describes a generalization of the relational model in order to capture and manipulate a type of probabilistic information. Probabilistic databases are formalized by means of logic theories based on a probabilistic first-order language proposed by Halpern. A sound a complete method is described for evaluating queries in probabilistic theories. The generalization proposed can be incorporated into existing relational systems with the addition of a component for manipulating propositional formulas.


Updated: 2017-03-27