Fact Extraction via Canonical Identifiers: Validating a Multi-Registry Pipeline for Dutch Open Data
Abstract
Paper 4 in the Prioris research series. Validates fact-level edge extraction using seven Dutch canonical identifier types (BIG, ECLI, KvK, SKJ, QID, BRIN, AGB). Reports precision and recall per identifier type, compares regex vs spaCy NER, and demonstrates cross-registry verification for accountability use cases. Part of the research programme (Paper 0: 10.5281/zenodo.19024611).
Fields of Study & Subjects
Data Quality and Management
Biomedical Text Mining and Ontologies
Authorship Attribution and Profiling
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 14 March 2026
- Language
- EN
- Document type
- Preprint