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An Automated Framework for Supporting Data-Governance Rule Compliance in Decentralized MIMO Contexts

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arxiv 2109.00838 v1 pith:RC3BELCA submitted 2021-09-02 cs.AI

An Automated Framework for Supporting Data-Governance Rule Compliance in Decentralized MIMO Contexts

classification cs.AI
keywords rulesdatacompliancegraphsautomatedcontextsdecentralizedflow
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We propose Dr.Aid, a logic-based AI framework for automated compliance checking of data governance rules over data-flow graphs. The rules are modelled using a formal language based on situation calculus and are suitable for decentralized contexts with multi-input-multi-output (MIMO) processes. Dr.Aid models data rules and flow rules and checks compliance by reasoning about the propagation, combination, modification and application of data rules over the data flow graphs. Our approach is driven and evaluated by real-world datasets using provenance graphs from data-intensive research.

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