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

ProvAbs: model, policy, and tooling for abstracting PROV graphs