Abstract

We present a flexible framework for implementing reasoning with uncertainty: Semistructured Probabilistic Databases. This framework bridges the gap between the process of obtaining probabilistic information from data and its use in AI applications by providing the facilities to store and query diverse and complex probabilistic data.

Disciplines

Computer Sciences

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URL: http://digitalcommons.calpoly.edu/csse_fac/137