IKMF: A Framework for AI-Driven Knowledge Mining and Preservation
The Intelligent Knowledge Mining Framework (IKMF) is a conceptual model that bridges AI-driven analysis and trustworthy long-term preservation. It addresses challenges in accessing and integrating digital data from disparate systems and unstructured documents. The framework features a dual-stream architecture: a horizontal Mining Process that transforms raw data into machine-actionable knowledge, and a parallel Trustworthy Archiving Stream ensuring integrity, provenance, and computational reproducibility. This blueprint aims to enable efficient utilization and collaborative decision-making across data-intensive sectors.
Key facts
- IKMF is introduced in arXiv:2512.17795.
- The framework addresses challenges of digital data proliferation.
- It bridges AI-driven analysis and trustworthy preservation.
- The architecture includes a Mining Process and a Trustworthy Archiving Stream.
- The Mining Process transforms raw data into machine-actionable knowledge.
- The Trustworthy Archiving Stream ensures integrity and provenance.
- The framework targets data-intensive sectors.
- It aims to enable collaborative decision-making.
Entities
Institutions
- arXiv