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
- Leonardo Bornhäußer (ORCID: https://orcid.org/0009-0005-6464-5179)
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