ProvSQL: Provenance and probability management in PostgreSQL

Pierre Senellart; Louis Jachiet; Silviu Maniu; Yann Ramusat

doi:10.14778/3229863.3236253

ProvSQL: Provenance and probability management in PostgreSQL

Pierre Senellart
, Louis Jachiet
, Silviu Maniu
, Yann Ramusat

DI ENS
Université PSL
INRIA Institut National de Recherche en Informatique et en Automatique
Université Paris-Saclay

Résultats de recherche: Contribution à un journal › Article de conférence › Revue par des pairs

59 Citations (Scopus)

Résumé

This demonstration showcases ProvSQL, an open-source module for the PostgreSQL database management system that adds support for computation of provenance and probabilities of query results. A large range of provenance formalisms are supported, including all those captured by provenance semirings, provenance semirings with monus, as well as where-provenance. Probabilistic query evaluation is made possible through the use of knowledge compilation tools, in addition to standard approaches such as enumeration of possible worlds and Monte-Carlo sampling. ProvSQL supports a large subset of non-aggregate SQL queries.

langue originale	Anglais
Pages (de - à)	2034-2037
Nombre de pages	4
journal	Proceedings of the VLDB Endowment
Volume	11
Numéro de publication	12
Les DOIs	https://doi.org/10.14778/3229863.3236253
état	Publié - 1 janv. 2018
Evénement	44th International Conference on Very Large Data Bases, VLDB 2018 - Rio de Janeiro, Brésil Durée: 27 août 2018 → 31 août 2018

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10.14778/3229863.3236253

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abstract = "This demonstration showcases ProvSQL, an open-source module for the PostgreSQL database management system that adds support for computation of provenance and probabilities of query results. A large range of provenance formalisms are supported, including all those captured by provenance semirings, provenance semirings with monus, as well as where-provenance. Probabilistic query evaluation is made possible through the use of knowledge compilation tools, in addition to standard approaches such as enumeration of possible worlds and Monte-Carlo sampling. ProvSQL supports a large subset of non-aggregate SQL queries.",

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T2 - 44th International Conference on Very Large Data Bases, VLDB 2018

AU - Senellart, Pierre

AU - Jachiet, Louis

AU - Maniu, Silviu

AU - Ramusat, Yann

PY - 2018/1/1

Y1 - 2018/1/1

N2 - This demonstration showcases ProvSQL, an open-source module for the PostgreSQL database management system that adds support for computation of provenance and probabilities of query results. A large range of provenance formalisms are supported, including all those captured by provenance semirings, provenance semirings with monus, as well as where-provenance. Probabilistic query evaluation is made possible through the use of knowledge compilation tools, in addition to standard approaches such as enumeration of possible worlds and Monte-Carlo sampling. ProvSQL supports a large subset of non-aggregate SQL queries.

AB - This demonstration showcases ProvSQL, an open-source module for the PostgreSQL database management system that adds support for computation of provenance and probabilities of query results. A large range of provenance formalisms are supported, including all those captured by provenance semirings, provenance semirings with monus, as well as where-provenance. Probabilistic query evaluation is made possible through the use of knowledge compilation tools, in addition to standard approaches such as enumeration of possible worlds and Monte-Carlo sampling. ProvSQL supports a large subset of non-aggregate SQL queries.

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DO - 10.14778/3229863.3236253

M3 - Conference article

AN - SCOPUS:85058897113

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EP - 2037

JO - Proceedings of the VLDB Endowment

JF - Proceedings of the VLDB Endowment

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Y2 - 27 August 2018 through 31 August 2018

ER -

ProvSQL: Provenance and probability management in PostgreSQL

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