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Provenance and Probabilities in Relational Databases
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We review the basics of data provenance in relational databases. We describe different provenance formalisms, from Boolean provenance to provenance semirings and beyond, that can be used for a wide variety of purposes, to obtain additional information on the output of a query. We discuss representation systems for data provenance, circuits in particular, with a focus on practical implementation. Finally, we explain how provenance is practically used for probabilistic query evaluation in probabilistic databases.
Title: Provenance and Probabilities in Relational Databases
Description:
We review the basics of data provenance in relational databases.
We describe different provenance formalisms, from Boolean provenance to provenance semirings and beyond, that can be used for a wide variety of purposes, to obtain additional information on the output of a query.
We discuss representation systems for data provenance, circuits in particular, with a focus on practical implementation.
Finally, we explain how provenance is practically used for probabilistic query evaluation in probabilistic databases.
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