{"type":"ScholarlyArticle","title":"An Automated Framework for Supporting Data-Governance Rule Compliance in Decentralized MIMO Contexts","authors":[{"name":"Rui Zhao","slug":"rui-zhao","given":"Rui","family":"Zhao","affiliation":""}],"abstract":"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.","doi":"10.24963/ijcai.2021/696","url":"https://ijcai.org/proceedings/2021/696","pdf":"https://ijcai.org/proceedings/2021/0696.pdf","markdown":"https://ijcai.org/proceedings/2021/696.md","bibtex":"https://ijcai.org/proceedings/2021/bibtex/696","volume":{"slug":"2021","title":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2021","url":"https://ijcai.org/proceedings/2021/","year":2021,"location":"Montreal","dates":"19-27 August 2021","editors":"Prof. Zhi-Hua Zhou","isbn":"978-0-9992411-9-6","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2021"},"section":"Doctoral Consortium","track":"Doctoral Consortium","number":696,"pages":{"first":4929,"last":4930},"keywords":["Agent-based and Multi-agent Systems: Normative systems","Multidisciplinary Topics and Applications: Security and Privacy","Planning and Scheduling: Model-Based Reasoning"],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}