ProvSQL: Provenance and Probability Management in PostgreSQL

ProvSQL: Provenance and Probability Management in PostgreSQL
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ProvSQL:PostgreSQL 中的来源和概率管理

DOI:
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发表时间:
2018
影响因子:
2.5
通讯作者:
Yann Ramusat
Yann Ramusat
中科院分区:
计算机科学2区
文献类型:
--
作者:
P. Senellart;Louis Jachiet;Silviu Maniu;Yann Ramusat

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这个演示展示了ProvSQL,一个PostgreSQL数据库管理系统的开源模块,它增加了对查询结果的出处和概率计算的支持。大范围的起源形式主义的支持,包括所有这些捕获的起源半环,起源半环与monus,以及何处起源。概率查询评估是可能的,通过使用知识编译工具,除了标准的方法,如枚举的可能的世界和蒙特-卡罗抽样。ProvSQL支持大量非聚合SQL查询。
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.
GProM - 满足您出处需求的瑞士军刀
DOI: --
发表时间: 2018
期刊: A Quarterly bulletin of the Computer Society of the IEEE Technical Committee on Data Engineering
影响因子: --
作者:
Arab, B. S.;Feng, S.;Glavic, B.;Lee, S.;Niu, X.;Zeng, Q.
通讯作者: Zeng, Q.