Governed growth: keeping a continuously ingested, provenance-first knowledge graph trustworthy

A governance method for knowledge graphs that ground AI answers and grow daily from sources of very different quality. Nine principles — source authority tiers, identity before enrichment, no synthesised identifiers, rule-classed relations, schema re-validation, licence-carrying data, reviewed judgement, observed growth and minimised personal data — on a deterministic, idempotent pipeline, mapped to PROV-O, SHACL, ELI, ECLI, LEI and the EU AI Act. Method only; no implementation, parameters or graph contents.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-10
DOI
https://doi.org/10.5281/zenodo.24099664
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Governed growth: keeping a continuously ingested, provenance-first knowledge graph trustworthy

Leonardo Bornhäußer
Zenodo (CERN European Organization for Nuclear Research)
Semantic Web and Ontologies
article

Governed growth: keeping a continuously ingested, provenance-first knowledge graph trustworthy

Leonardo Bornhäußer
article en

Abstract

A governance method for knowledge graphs that ground AI answers and grow daily from sources of very different quality. Nine principles — source authority tiers, identity before enrichment, no synthesised identifiers, rule-classed relations, schema re-validation, licence-carrying data, reviewed judgement, observed growth and minimised personal data — on a deterministic, idempotent pipeline, mapped to PROV-O, SHACL, ELI, ECLI, LEI and the EU AI Act. Method only; no implementation, parameters or graph contents.

Zenodo (CERN European Organization for Nuclear Research)
Semantic Web and Ontologies
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