Battery Interface Ontology (BattINFO)

The Battery Interface Ontology (BattINFO) is a domain ontology developed to standardize and harmonize the representation of battery-related knowledge, data, and interfaces. BattINFO provides a structured vocabulary for describing battery materials, components, interfaces, processes, and performance metrics, supporting the annotation and integration of experimental and computational battery data. The ontology is designed to enable FAIR battery data practices, facilitating data sharing, interoperability, and reuse across research, industry, and digital platforms. BattINFO supports semantic annotation of battery experiments, manufacturing workflows, and simulation results, enabling advanced analytics, lifecycle assessment, and knowledge discovery. The ontology is extensible and can be aligned with other materials science and energy ontologies for broader compatibility. BattINFO is actively maintained and extended to incorporate new battery technologies, standards, and research requirements.

Example Usage: Annotate a battery research dataset with BattINFO terms to specify electrode materials, electrolyte composition, interface properties, and performance metrics (e.g., capacity, cycle life), enabling semantic search and integration with battery databases and digital twins.

Metrics & Statistics

Graph Statistics

Total Nodes

27319

Total Edges

50787

Root Nodes

2855

Leaf Nodes

16852
Knowledge Coverage Statistics

Classes

4431

Individuals

7

Properties

304
Hierarchical Metrics

Maximum Depth

27

Minimum Depth

0

Average Depth

2.09

Depth Variance

7.40
Breadth Metrics

Maximum Breadth

10695

Minimum Breadth

7

Average Breadth

827.86

Breadth Variance

4644992.84
LLMs4OL Dataset Statistics

Term Types

10

Taxonomic Relations

195

Non-taxonomic Relations

2

Average Terms per Type

10.00

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import BattINFO

ontology = BattINFO()
ontology.load("path/to/BattINFO-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