Open Innovation Environment Manufacturing (OIEManufacturing)

The Open Innovation Environment Manufacturing (OIEManufacturing) ontology is a domain-level ontology developed to represent manufacturing processes in materials science [1] [2]. It provides a structured vocabulary for describing manufacturing-related concepts and supports their alignment with the wider Open Innovation Environment ontology set [1] [2].

OIEManufacturing is part of the Open Innovation Environment ontology collection, which includes domain-level ontologies for characterisation methods, manufacturing processes, materials, models, and software products [1] [2]. The ontology supports semantic annotation, interoperability, data integration, and reuse of manufacturing-related materials science information [1] [2]. By providing a standardized semantic framework, OIEManufacturing helps organize manufacturing knowledge for semantic search and integration with materials informatics platforms [1] [2].

Example Usage: Annotate a manufacturing dataset with OIEManufacturing terms to specify manufacturing processes, manufacturing methods, and related materials science information, enabling semantic search and integration with materials informatics platforms [1] [2]. Metrics & Statistics ————————–

Graph Statistics

Total Nodes

380

Total Edges

869

Root Nodes

13

Leaf Nodes

131
Knowledge Coverage Statistics

Classes

222

Individuals

0

Properties

3
Hierarchical Metrics

Maximum Depth

5

Minimum Depth

0

Average Depth

1.39

Depth Variance

1.07
Breadth Metrics

Maximum Breadth

30

Minimum Breadth

1

Average Breadth

12.00

Breadth Variance

112.67
LLMs4OL Dataset Statistics

Term Types

0

Taxonomic Relations

217

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 OIEManufacturing

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

References