Provabs: Model, policy, and tooling for abstracting PROV graphs

Paolo Missier; Jeremy Bryans; Carl Gamble; Vasa Curcin; Roxana Danger

doi:10.1007/978-3-319-16462-5_1

Provabs: Model, policy, and tooling for abstracting PROV graphs

Paolo Missier^*, Jeremy Bryans, Carl Gamble, Vasa Curcin, Roxana Danger

^*Corresponding author for this work

Computer Science

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

Abstract

Provenance metadata can be valuable in data sharing settings, where it can be used to help data consumers form judgements regarding the reliability of the data produced by third parties. However, some parts of provenance may be sensitive, requiring access control, or they may need to be simplified for the intended audience. Both these issues can be addressed by a single mechanism for creating abstractions over provenance, coupled with a policy model to drive the abstraction. Such mechanism, which we refer to as abstraction by grouping, simultaneously achieves partial disclosure of provenance, and facilitates its consumption. In this paper we introduce a formal foundation for this type of abstraction, grounded in the W3C PROV model; describe the associated policy model; and briefly present its implementation, the ProvAbs tool for interactive experimentation with policies and abstractions.

Original language	English
Title of host publication	Provenance and Annotation of Data and Processes - 5th International Provenance and Annotation Workshop, IPAW 2014, Revised Selected Papers
Editors	Beth Plale, Bertram Ludäscher, Bertram Ludäscher
Publisher	Springer Verlag
Pages	3-15
Number of pages	13
ISBN (Electronic)	9783319164618
DOIs	https://doi.org/10.1007/978-3-319-16462-5_1
Publication status	Published - 2015
Event	5th International Provenance and Annotation Workshop, IPAW 2014 - Cologne, Germany Duration: 10 Jun 2014 → 11 Jun 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8628
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Provenance and Annotation Workshop, IPAW 2014
Country/Territory	Germany
City	Cologne
Period	10/06/14 → 11/06/14

Bibliographical note

Funding Information:
This work was funded in part by EPSRC UK and DSTL under grant EP/J020494/1.

Publisher Copyright:
© Springer International Publishing Switzerland 2015.

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-16462-5_1

Cite this

Missier, P., Bryans, J., Gamble, C., Curcin, V., & Danger, R. (2015). Provabs: Model, policy, and tooling for abstracting PROV graphs. In B. Plale, B. Ludäscher, & B. Ludäscher (Eds.), Provenance and Annotation of Data and Processes - 5th International Provenance and Annotation Workshop, IPAW 2014, Revised Selected Papers (pp. 3-15). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8628). Springer Verlag. https://doi.org/10.1007/978-3-319-16462-5_1

Missier, Paolo ; Bryans, Jeremy ; Gamble, Carl et al. / Provabs : Model, policy, and tooling for abstracting PROV graphs. Provenance and Annotation of Data and Processes - 5th International Provenance and Annotation Workshop, IPAW 2014, Revised Selected Papers. editor / Beth Plale ; Bertram Ludäscher ; Bertram Ludäscher. Springer Verlag, 2015. pp. 3-15 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Provenance metadata can be valuable in data sharing settings, where it can be used to help data consumers form judgements regarding the reliability of the data produced by third parties. However, some parts of provenance may be sensitive, requiring access control, or they may need to be simplified for the intended audience. Both these issues can be addressed by a single mechanism for creating abstractions over provenance, coupled with a policy model to drive the abstraction. Such mechanism, which we refer to as abstraction by grouping, simultaneously achieves partial disclosure of provenance, and facilitates its consumption. In this paper we introduce a formal foundation for this type of abstraction, grounded in the W3C PROV model; describe the associated policy model; and briefly present its implementation, the ProvAbs tool for interactive experimentation with policies and abstractions.",

author = "Paolo Missier and Jeremy Bryans and Carl Gamble and Vasa Curcin and Roxana Danger",

note = "Funding Information: This work was funded in part by EPSRC UK and DSTL under grant EP/J020494/1. Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 5th International Provenance and Annotation Workshop, IPAW 2014 ; Conference date: 10-06-2014 Through 11-06-2014",

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doi = "10.1007/978-3-319-16462-5_1",

language = "English",

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Missier, P, Bryans, J, Gamble, C, Curcin, V & Danger, R 2015, Provabs: Model, policy, and tooling for abstracting PROV graphs. in B Plale, B Ludäscher & B Ludäscher (eds), Provenance and Annotation of Data and Processes - 5th International Provenance and Annotation Workshop, IPAW 2014, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8628, Springer Verlag, pp. 3-15, 5th International Provenance and Annotation Workshop, IPAW 2014, Cologne, Germany, 10/06/14. https://doi.org/10.1007/978-3-319-16462-5_1

Provabs: Model, policy, and tooling for abstracting PROV graphs. / Missier, Paolo; Bryans, Jeremy; Gamble, Carl et al.
Provenance and Annotation of Data and Processes - 5th International Provenance and Annotation Workshop, IPAW 2014, Revised Selected Papers. ed. / Beth Plale; Bertram Ludäscher; Bertram Ludäscher. Springer Verlag, 2015. p. 3-15 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8628).

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

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T2 - 5th International Provenance and Annotation Workshop, IPAW 2014

AU - Missier, Paolo

AU - Bryans, Jeremy

AU - Gamble, Carl

AU - Curcin, Vasa

AU - Danger, Roxana

N1 - Funding Information: This work was funded in part by EPSRC UK and DSTL under grant EP/J020494/1. Publisher Copyright: © Springer International Publishing Switzerland 2015.

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N2 - Provenance metadata can be valuable in data sharing settings, where it can be used to help data consumers form judgements regarding the reliability of the data produced by third parties. However, some parts of provenance may be sensitive, requiring access control, or they may need to be simplified for the intended audience. Both these issues can be addressed by a single mechanism for creating abstractions over provenance, coupled with a policy model to drive the abstraction. Such mechanism, which we refer to as abstraction by grouping, simultaneously achieves partial disclosure of provenance, and facilitates its consumption. In this paper we introduce a formal foundation for this type of abstraction, grounded in the W3C PROV model; describe the associated policy model; and briefly present its implementation, the ProvAbs tool for interactive experimentation with policies and abstractions.

AB - Provenance metadata can be valuable in data sharing settings, where it can be used to help data consumers form judgements regarding the reliability of the data produced by third parties. However, some parts of provenance may be sensitive, requiring access control, or they may need to be simplified for the intended audience. Both these issues can be addressed by a single mechanism for creating abstractions over provenance, coupled with a policy model to drive the abstraction. Such mechanism, which we refer to as abstraction by grouping, simultaneously achieves partial disclosure of provenance, and facilitates its consumption. In this paper we introduce a formal foundation for this type of abstraction, grounded in the W3C PROV model; describe the associated policy model; and briefly present its implementation, the ProvAbs tool for interactive experimentation with policies and abstractions.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Provenance and Annotation of Data and Processes - 5th International Provenance and Annotation Workshop, IPAW 2014, Revised Selected Papers

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Missier P, Bryans J, Gamble C, Curcin V, Danger R. Provabs: Model, policy, and tooling for abstracting PROV graphs. In Plale B, Ludäscher B, Ludäscher B, editors, Provenance and Annotation of Data and Processes - 5th International Provenance and Annotation Workshop, IPAW 2014, Revised Selected Papers. Springer Verlag. 2015. p. 3-15. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-16462-5_1

Provabs: Model, policy, and tooling for abstracting PROV graphs

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

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Cite this