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

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Authors: Rogier Meulenaar
Cited by: 0

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).

Fields of Study & Subjects

Semantic Web and Ontologies Topic Modeling Advanced Graph Neural Networks

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 March 2026
Language
EN
Document type
Preprint