Hierarchical Models of Provenance

Peter Buneman; James Cheney; Egor V. Kostylev

Hierarchical Models of Provenance

Peter Buneman, James Cheney, Egor V. Kostylev

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

There is general agreement that we need to understand provenance at various levels of granularity; however, there appears, as yet, to be no general agreement on what granularity means. It can refer both to the detail with which we can view a process or the detail with which we view the data. We describe a simple and straightforward method for imposing a hierarchical structure on a provenance graph and show how it can, if we want, be derived from the program whose execution created that graph.

Original language	English
Title of host publication	Proceedings of the 4th USENIX Conference on Theory and Practice of Provenance
Place of Publication	Berkeley, CA, USA
Publisher	USENIX Association
Pages	10-10
Number of pages	1
Publication status	Published - 14 Jun 2012

Publication series

Name	TaPP'12
Publisher	USENIX Association

Access to Document

https://www.usenix.org/system/files/conference/tapp12/tapp12-final14.pdf

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1 Finished

Heterogeneous and Permanent data
Buneman, P., Fan, W., Libkin, L. & Viglas, S.
EPSRC
1/03/08 → 29/02/12
Project: Research

Cite this

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title = "Hierarchical Models of Provenance",

abstract = "There is general agreement that we need to understand provenance at various levels of granularity; however, there appears, as yet, to be no general agreement on what granularity means. It can refer both to the detail with which we can view a process or the detail with which we view the data. We describe a simple and straightforward method for imposing a hierarchical structure on a provenance graph and show how it can, if we want, be derived from the program whose execution created that graph.",

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AU - Cheney, James

AU - Kostylev, Egor V.

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N2 - There is general agreement that we need to understand provenance at various levels of granularity; however, there appears, as yet, to be no general agreement on what granularity means. It can refer both to the detail with which we can view a process or the detail with which we view the data. We describe a simple and straightforward method for imposing a hierarchical structure on a provenance graph and show how it can, if we want, be derived from the program whose execution created that graph.

AB - There is general agreement that we need to understand provenance at various levels of granularity; however, there appears, as yet, to be no general agreement on what granularity means. It can refer both to the detail with which we can view a process or the detail with which we view the data. We describe a simple and straightforward method for imposing a hierarchical structure on a provenance graph and show how it can, if we want, be derived from the program whose execution created that graph.

M3 - Conference contribution

T3 - TaPP'12

SP - 10

EP - 10

BT - Proceedings of the 4th USENIX Conference on Theory and Practice of Provenance

PB - USENIX Association

CY - Berkeley, CA, USA

ER -

Hierarchical Models of Provenance

Abstract

Publication series

Access to Document

Heterogeneous and Permanent data

Cite this