Open Innovation Environment Models (OIEModels)¶
The Open Innovation Environment Models (OIEModels) ontology is a domain-level ontology developed to represent model-related concepts in materials science [1] [2]. It provides a structured vocabulary for describing models and supports their alignment with the wider Open Innovation Environment ontology set [1] [2].
OIEModels is part of the Open Innovation Environment ontology collection, which includes EMMO-compliant, 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 model-related information across materials modelling and materials informatics workflows [1] [2].
Example Usage: Annotate a materials modelling dataset with OIEModels terms to specify model types, model-related information, and links to materials science concepts, enabling semantic search and integration with materials informatics platforms [1] [2].
Metrics & Statistics¶
Total Nodes |
186 |
Total Edges |
413 |
Root Nodes |
0 |
Leaf Nodes |
64 |
Classes |
108 |
Individuals |
0 |
Properties |
1 |
Maximum Depth |
0 |
Minimum Depth |
0 |
Average Depth |
0.00 |
Depth Variance |
0.00 |
Maximum Breadth |
0 |
Minimum Breadth |
0 |
Average Breadth |
0.00 |
Breadth Variance |
0.00 |
Term Types |
0 |
Taxonomic Relations |
101 |
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 OIEModels
ontology = OIEModels()
ontology.load("path/to/OIEModels-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