Battery Value Chain Ontology (BVCO)¶
The Battery Value Chain Ontology (BVCO) is a domain ontology developed to model processes, entities, and relationships along the battery value chain, from raw material extraction to recycling and disposal. BVCO provides a structured vocabulary for describing holistic processes that transform inputs (matter, energy, information) into outputs (products, byproducts, waste) using tools such as devices and algorithms. The ontology supports decomposition of processes into sub-processes, capturing predecessor and successor relationships, and enabling detailed modeling of manufacturing, logistics, usage, and end-of-life stages. BVCO facilitates semantic annotation of battery value chain data, supporting interoperability, data integration, and advanced analytics across research, industry, and regulatory platforms. By providing a standardized framework, BVCO enables lifecycle assessment, supply chain optimization, and sustainability analysis in the battery industry. The ontology is actively maintained and extended to incorporate new battery technologies, process innovations, and regulatory requirements.
Example Usage: Annotate a battery manufacturing workflow with BVCO terms to specify raw material sourcing, cell assembly, quality control, logistics, and recycling processes, enabling semantic search and integration with supply chain management systems.
Metrics & Statistics¶
Total Nodes |
804 |
Total Edges |
1719 |
Root Nodes |
85 |
Leaf Nodes |
283 |
Classes |
262 |
Individuals |
0 |
Properties |
6 |
Maximum Depth |
14 |
Minimum Depth |
0 |
Average Depth |
2.47 |
Depth Variance |
5.27 |
Maximum Breadth |
230 |
Minimum Breadth |
2 |
Average Breadth |
52.20 |
Breadth Variance |
4920.43 |
Term Types |
0 |
Taxonomic Relations |
0 |
Non-taxonomic Relations |
0 |
Average Terms per Type |
0.00 |
Usage Example¶
Use the following code to import this ontology programmatically:
from ontolearner.ontology import BVCO
ontology = BVCO()
ontology.load("path/to/BVCO-ontology.ttl")
# Extract datasets
data = ontology.extract()
# Access specific relations
term_types = data.term_typings
taxonomic_relations = data.type_taxonomies
non_taxonomic_relations = data.type_non_taxonomic_relations