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 [1] [2]. It is implemented in RDF/OWL and leverages the Basic Formal Ontology (BFO) as its upper-level framework, while also incorporating terms from other domain-independent and mid-level ontologies [1]. IOF Core provides a standardized vocabulary for describing manufacturing-related concepts that support cross-system integration within factories, across enterprises, between suppliers and manufacturers, and throughout the product life cycle [1] [2]. The ontology is designed to ensure consistency and interoperability across domain-specific reference ontologies published by the IOF [1]. IOF Core supports advanced applications such as smart manufacturing, industrial knowledge graphs, supply chain modeling, digital twins, industrial automation, data sharing, analytics, and knowledge management in the manufacturing sector [2].

Example Usage: Annotate a smart factory system with IOF Core terms to describe production lines, machines, materials, process steps, and organizational relationships, enabling integration with enterprise resource planning (ERP), manufacturing execution systems (MES), supply chain systems, and industrial knowledge graphs [1] [2].

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

References