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

P. Missier, J. Bryans, C. Gamble, V. Curcin, R. Danger

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding

    9 Citations (Scopus)

    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 languageEnglish
    Title of host publicationProvenance and Annotation of Data and Processes
    PublisherSpringer
    Pages3-15
    Number of pages13
    Volume8628
    ISBN (Electronic)978-3-319-16462-5
    ISBN (Print)978-3-319-16461-8
    DOIs
    Publication statusPublished - 2015
    Event5th International Provenance and Annotation Workshop: IPAW 2014 - Cologne, Germany
    Duration: 9 Jun 201413 Jun 2014

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Volume8628

    Conference

    Conference5th International Provenance and Annotation Workshop
    CountryGermany
    CityCologne
    Period9/06/1413/06/14

    Fingerprint

    Metadata
    Access control

    Cite this

    Missier, P., Bryans, J., Gamble, C., Curcin, V., & Danger, R. (2015). Provabs: Model, policy, and tooling for abstracting PROV graphs. In Provenance and Annotation of Data and Processes (Vol. 8628, pp. 3-15). (Lecture Notes in Computer Science ; Vol. 8628). Springer. https://doi.org/10.1007/978-3-319-16462-5_1

    Provabs: Model, policy, and tooling for abstracting PROV graphs. / Missier, P.; Bryans, J.; Gamble, C.; Curcin, V.; Danger, R.

    Provenance and Annotation of Data and Processes. Vol. 8628 Springer, 2015. p. 3-15 (Lecture Notes in Computer Science ; Vol. 8628).

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding

    Missier, P, Bryans, J, Gamble, C, Curcin, V & Danger, R 2015, Provabs: Model, policy, and tooling for abstracting PROV graphs. in Provenance and Annotation of Data and Processes. vol. 8628, Lecture Notes in Computer Science , vol. 8628, Springer, pp. 3-15, 5th International Provenance and Annotation Workshop, Cologne, Germany, 9/06/14. https://doi.org/10.1007/978-3-319-16462-5_1
    Missier P, Bryans J, Gamble C, Curcin V, Danger R. Provabs: Model, policy, and tooling for abstracting PROV graphs. In Provenance and Annotation of Data and Processes. Vol. 8628. Springer. 2015. p. 3-15. (Lecture Notes in Computer Science ). https://doi.org/10.1007/978-3-319-16462-5_1
    Missier, P. ; Bryans, J. ; Gamble, C. ; Curcin, V. ; Danger, R. / Provabs: Model, policy, and tooling for abstracting PROV graphs. Provenance and Annotation of Data and Processes. Vol. 8628 Springer, 2015. pp. 3-15 (Lecture Notes in Computer Science ).
    @inproceedings{fbddafc7992d46609be78114c902c59f,
    title = "Provabs: Model, policy, and tooling for abstracting PROV graphs",
    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 = "P. Missier and J. Bryans and C. Gamble and V. Curcin and R. Danger",
    year = "2015",
    doi = "10.1007/978-3-319-16462-5_1",
    language = "English",
    isbn = "978-3-319-16461-8",
    volume = "8628",
    series = "Lecture Notes in Computer Science",
    publisher = "Springer",
    pages = "3--15",
    booktitle = "Provenance and Annotation of Data and Processes",

    }

    TY - GEN

    T1 - Provabs: Model, policy, and tooling for abstracting PROV graphs

    AU - Missier, P.

    AU - Bryans, J.

    AU - Gamble, C.

    AU - Curcin, V.

    AU - Danger, R.

    PY - 2015

    Y1 - 2015

    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.

    U2 - 10.1007/978-3-319-16462-5_1

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

    M3 - Conference proceeding

    SN - 978-3-319-16461-8

    VL - 8628

    T3 - Lecture Notes in Computer Science

    SP - 3

    EP - 15

    BT - Provenance and Annotation of Data and Processes

    PB - Springer

    ER -