Open Innovation Environment Software (OIESoftware)

The Open Innovation Environment Software Ontology (OIESoftware) is an EMMO-compliant, domain-level ontology developed to represent software products in materials science and engineering [1] [2]. It provides a structured vocabulary for describing software-related concepts and supports their alignment with the wider Open Innovation Environment ontology set [1] [2].

OIESoftware 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 software-related information across materials science workflows and digital research infrastructures [1] [2].

Example Usage:

Annotate a computational materials science workflow with OIESoftware terms to specify the software products used, their roles in the workflow, and their links to related models, materials, or characterisation/manufacturing processes, enabling semantic search and integration with research data management systems [1] [2].

Metrics & Statistics

Graph Statistics

Total Nodes

205

Total Edges

489

Root Nodes

17

Leaf Nodes

49

Knowledge Coverage Statistics

Classes

155

Individuals

0

Properties

0

Hierarchical Metrics

Maximum Depth

3

Minimum Depth

0

Average Depth

1.01

Depth Variance

0.59

Breadth Metrics

Maximum Breadth

37

Minimum Breadth

3

Average Breadth

17.25

Breadth Variance

155.19

LLMs4OL Dataset Statistics

Term Types

0

Taxonomic Relations

179

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 OIESoftware

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