COLD: Constructing Ontology-based Linked Data
COLD is a Python package for generating and validating battery-related linked data. It provides tools for structuring battery metadata and test data into RDF/JSON-LD formats using an ontology-driven approach. COLD ensures that generated data adheres to well-defined ontologies, making it easy to integrate with semantic web technologies and battery digital twin ecosystems.
- Repository
- https://github.com/DigiBatt/cold
- Documentation
- https://digibatt.github.io/cold/
- Language
- Python, Jinja
- License
- MIT
- Authors
- DigiBatt
- Funding Source
- Horizon Europe DigiBatt project