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March 17, 20260 citationsOpen Access

Cross-Domain Transferability of Evidence-Graded Knowledge Graphs: Projected Performance Analysis Across Medical, Legal, Business, and Cybersecurity Domains

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RMRogier Meulenaar

Key Points

  • The central aim is to analyze the transferability of evidence-graded knowledge graphs across multiple professional domains.
  • Conducts a projected performance analysis of knowledge graphs across medical, legal, business, and cybersecurity domains.
  • Examines domain-specific identifier systems relevant to each sector.
  • Analyzes natural language inference (NLI) performance and adapts probabilistic metrics for threshold settings.
  • Identifies key similarities and differences in transferability of knowledge graphs across domains.
  • Projects potential performance of knowledge graphs when applied to each professional field.

Abstract

Paper 8 in the Prioris research series. Projects the transferability of the evidence-graded knowledge graph framework across four professional domains (medical, legal, business, cybersecurity). Analyzes domain-specific identifier systems, NLI performance projections, and PMI threshold adaptation. This is a design study with projected performance analysis, not empirical validation. Part of the Evidence-Graded Knowledge Graphs research programme (Paper 0: 10.5281/zenodo.19024611).

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Cite This Study

Rogier Meulenaar (2026) studied this question.

synapsesocial.com/papers/69b8f11edeb47d591b8c5febhttps://doi.org/10.5281/zenodo.19026290
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Evidence-Graded vs. Flat Knowledge Graphs: A Comparative Analysis of Trust Representation Approaches2026
  2. 2Evidence-Graded vs. Flat Knowledge Graphs: A Comparative Analysis of Trust Representation Approaches2026
  3. 3Evidence-Graded Knowledge Graphs: A Synthesis of Methodology, Empirical Validation, and Open Questions2026
  4. 4Stratified Evaluation of Evidence-Graded Knowledge Graph Edges: A 1200-Edge Multi-Domain Assessment2026
  5. 5Stratified Evaluation of Evidence-Graded Knowledge Graph Edges: A 1200-Edge Multi-Domain Assessment2026