Ontology for the Steel Domain (ONTORULE)

The Ontology for the Steel Domain (ONTORULE) is a domain ontology developed for the steel industry use case, providing a structured vocabulary for representing concepts, attributes, and relationships relevant to steel production and processing. ONTORULE supports the semantic annotation of steel industry data, including materials, processes, equipment, and quality attributes, enabling data integration and knowledge sharing across manufacturing systems. The ontology is designed for extensibility and can be adapted to represent new steel grades, production methods, and regulatory requirements. ONTORULE facilitates advanced analytics, process optimization, and compliance management in the steel industry by providing a standardized framework for knowledge representation. The ontology is documented with an HTML specification generated from the OWL file and is aligned with best practices in industrial ontology development.

Example Usage: Annotate a steel manufacturing process with ONTORULE terms to specify the materials used, process steps, equipment, and quality control attributes, enabling semantic search and integration with production and quality management systems.

Metrics & Statistics

Graph Statistics

Total Nodes

131

Total Edges

348

Root Nodes

4

Leaf Nodes

53
Knowledge Coverage Statistics

Classes

24

Individuals

13

Properties

37
Hierarchical Metrics

Maximum Depth

1

Minimum Depth

0

Average Depth

0.20

Depth Variance

0.16
Breadth Metrics

Maximum Breadth

4

Minimum Breadth

1

Average Breadth

2.50

Breadth Variance

2.25
LLMs4OL Dataset Statistics

Term Types

11

Taxonomic Relations

16

Non-taxonomic Relations

2

Average Terms per Type

2.20

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import ONTORULE

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