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

09/02/2021
by   Rui Zhao, et al.
0

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.

READ FULL TEXT

page 1

page 2

research
10/03/2021

Dr.Aid: Supporting Data-governance Rule Compliance for Decentralized Collaboration in an Automated Way

Collaboration across institutional boundaries is widespread and increasi...
research
11/19/2019

Towards a computer-interpretable actionable formal model to encode data governance rules

With the needs of science and business, data sharing and re-use has beco...
research
04/14/2022

Stateless and Rule-Based Verification For Compliance Checking Applications

Underlying computational model has an important role in any computation....
research
10/13/2021

Compliance checking in reified IO logic via SHACL

Reified Input/Output (I/O) logic[21] has been recently proposed to model...
research
10/01/2019

Towards French Smart Building Code: Compliance Checking Based on Semantic Rules

Manually checking models for compliance against building regulation is a...
research
05/12/2021

Proving Regulatory Compliance: A Computational Complexity Analysis of Elementary Variants

Organisations model their processes using so-called business process mod...
research
07/11/2020

KARB Solution: Compliance to Quality by Rule Based Benchmarking

Instead of proofs or logical evaluations, compliance assessment could be...

Please sign up or login with your details

Forgot password? Click here to reset