Industrial Ontology Foundry (IOF)

The Industrial Ontology Foundry (IOF) Core Ontology is a foundational ontology for the manufacturing industry, capturing concepts and relationships common across multiple manufacturing domains. It is implemented in RDF and leverages the Basic Formal Ontology (BFO) as its upper-level framework, while also incorporating terms from other domain-independent and mid-level ontologies. IOF provides a standardized vocabulary for describing manufacturing processes, equipment, materials, products, and organizational structures. The ontology is designed to ensure consistency and interoperability across various domain-specific reference ontologies published by the IOF, supporting integration of manufacturing data from diverse sources. IOF enables advanced applications such as digital twins, smart manufacturing, supply chain optimization, and industrial automation. By providing a common semantic foundation, IOF facilitates data sharing, analytics, and knowledge management in the manufacturing sector.

Example Usage: Annotate a smart factory system with IOF terms to describe production lines, machines, materials, and process steps, enabling integration with enterprise resource planning (ERP) and manufacturing execution systems (MES).

Metrics & Statistics

Graph Statistics

Total Nodes

1442

Total Edges

2686

Root Nodes

13

Leaf Nodes

716
Knowledge Coverage Statistics

Classes

212

Individuals

0

Properties

51
Hierarchical Metrics

Maximum Depth

36

Minimum Depth

0

Average Depth

7.89

Depth Variance

35.71
Breadth Metrics

Maximum Breadth

117

Minimum Breadth

1

Average Breadth

24.32

Breadth Variance

922.11
LLMs4OL Dataset Statistics

Term Types

0

Taxonomic Relations

87

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 IOF

ontology = IOF()
ontology.load("path/to/IOF-ontology.rdf")

# 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