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New framework bridges AI analysis with trustworthy data preservation

This paper introduces the Intelligent Knowledge Mining Framework (IKMF), a conceptual model designed to integrate AI-driven analysis with long-term data preservation. The framework features a dual-stream architecture: one for transforming raw data into actionable knowledge and another for ensuring the integrity and reproducibility of these assets. IKMF aims to create dynamic data ecosystems that facilitate the flow of intelligence from producers to consumers. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Proposes a framework for managing AI-analyzed data, potentially improving data integrity and accessibility for future AI applications.

RANK_REASON This is a research paper published on arXiv detailing a new conceptual framework. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

COVERAGE [1]

  1. arXiv cs.AI TIER_1 · Binh Vu ·

    Intelligent Knowledge Mining Framework: Bridging AI Analysis and Trustworthy Preservation

    arXiv:2512.17795v2 Announce Type: replace-cross Abstract: The unprecedented proliferation of digital data presents significant challenges in access, integration, and value creation across all data-intensive sectors. Valuable information is frequently encapsulated within disparate…