MuSe: Multiple Deletion Semantics for Data Repair

Amir Gilad; Yihao Hu; Daniel Deutch; Sudeepa Roy

doi:10.14778/3415478.3415509

MuSe: Multiple Deletion Semantics for Data Repair

Amir Gilad, Yihao Hu, Daniel Deutch, Sudeepa Roy

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

We propose to demonstrate MuSe, a system for Database repairs where constraints are expressed as Declarative Rules and can be interpreted in different ways by using four different semantics. Our framework may capture common, cross-relation, repair semantics such as that of SQL deletion triggers, causal rules, and denial constraints. Our demonstration will show the usefulness of the system in easing specification of database repair policies, for different use cases.

Original language	English
Pages (from-to)	2921-2924
Number of pages	4
Journal	Proceedings of the VLDB Endowment
Volume	13
Issue number	12
DOIs	https://doi.org/10.14778/3415478.3415509
State	Published - 1 Jan 2020
Externally published	Yes

ASJC Scopus subject areas

Computer Science (miscellaneous)
General Computer Science

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10.14778/3415478.3415509

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title = "MuSe: Multiple Deletion Semantics for Data Repair",

abstract = "We propose to demonstrate MuSe, a system for Database repairs where constraints are expressed as Declarative Rules and can be interpreted in different ways by using four different semantics. Our framework may capture common, cross-relation, repair semantics such as that of SQL deletion triggers, causal rules, and denial constraints. Our demonstration will show the usefulness of the system in easing specification of database repair policies, for different use cases.",

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AU - Deutch, Daniel

AU - Roy, Sudeepa

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MuSe: Multiple Deletion Semantics for Data Repair

Abstract

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