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 proceedingpeer-review

    13 Citations (Scopus)


    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
    Number of pages13
    ISBN (Electronic)978-3-319-16462-5
    ISBN (Print)978-3-319-16461-8
    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


    Conference5th International Provenance and Annotation Workshop

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