A registry for knowledge graphs and their components.
- Registry of knowledge graphs and related resources
- YAML-based data format for easy editing and collaboration
- Web interface for browsing resources
- Advanced search using SQL queries via DuckDB
- Parquet file support for efficient storage and querying
- CLI tools for data management and export
KG-Registry Documentation: Start here to learn about the purpose of KG-Registry and how it works.
Entries in KG-Registry are either Resources or Products. Resources represent top-level entries for knowledge graph and data sources. Products are specific representations or interfaces for a resource (e.g., graph dumps, APIs, or visualizations). This also includes associated software and documentation sets.
For more detail:
For developers working on the KG-Registry website and backend:
- Site Development Guide - Setup, deployment, and troubleshooting
- Agent Skills Guide - Local agent-assisted curation workflows in
.agents/ - Parquet Backend Documentation - Database schema and querying
- Advanced Search Feature - SQL-based resource discovery interface
Resource publication metadata is validated against cache files produced by
linkml-reference-validator.
Cached title, year, DOI, and first-author mismatches are validation errors;
missing cache files are warnings during ordinary validation.
uv run make validate-file FILE=resource/<resource>/<resource>.md
uv run make cache-publication-references
uv run make validate-publication-reference-cacheSee Reference Validation for the full procedure. The data quality dashboard also reports resources with missing publications or publication citation metadata issues.