Knowledge Graph-Driven Data Provenance and Intelligent Governance across Multi-Cloud Enterprise Architectures
Keywords:
Knowledge Graphs, Data Provenance, Intelligent Governance, Multi-Cloud Architecture, Data Lineage, Metadata Management, Cloud Computing, Data Security, Regulatory Compliance, Semantic Interoperability.Abstract
The increasing adoption of multi-cloud enterprise architectures has transformed organizational data management, introducing significant challenges associated with data provenance, security, regulatory compliance, interoperability, and governance. Enterprises increasingly distribute their data assets, applications, and analytical workloads across multiple cloud service providers, creating complex information environments in which tracking data origins, transformations, movements, and ownership becomes difficult. This research explores a knowledge graph-driven approach to data provenance and intelligent governance across multi-cloud enterprise architectures. The proposed approach integrates knowledge graph technologies, metadata management, semantic relationships, automated policy enforcement, and artificial intelligence to establish a unified representation of enterprise data assets and their lifecycle activities. By connecting heterogeneous data sources through standardized semantic models, knowledge graphs enable organizations to achieve improved data visibility, traceability, accountability, and contextual understanding. The study investigates how graph-based representations can support automated governance decisions, regulatory compliance monitoring, risk identification, and cross-cloud data lineage analysis. Furthermore, the research methodology considers architectural design, conceptual framework development, governance requirements, and evaluation dimensions to assess the effectiveness of knowledge graph-driven governance. The proposed framework aims to strengthen enterprise data management by improving transparency, operational intelligence, and trust while supporting scalable, secure, and compliant information exchange across distributed cloud environments.
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