Evidence-Graded Knowledge Graphs: A Synthesis of Methodology, Empirical Validation, and Open Questions

Zenodo (CERN European Organization for Nuclear Research) 2026 Preprint Open access

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Authors: Rogier Meulenaar
DOI: 10.5281/zenodo.19026291
Cited by: 0

Abstract

Paper 9 in the Prioris research series. Synthesizes findings from Papers 0-8 into a coherent programme assessment. Reviews the evidence taxonomy, NLI stance detection (macro-F1=0.70), PMI co-occurrence (hybrid F1=0.72), fact extraction (F1=0.924), confidence calibration, and pipeline architecture. Identifies open questions and future research directions. Part of the Evidence-Graded Knowledge Graphs research programme (Paper 0: 10.5281/zenodo.19024611).

Fields of Study & Subjects

Topic Modeling Advanced Text Analysis Techniques Biomedical Text Mining and Ontologies

Publication details

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