|
|
EMMO-based ontology for microstructures (MicroStructures) |
|
|
======================================================================================================================== |
|
|
|
|
|
Overview |
|
|
-------- |
|
|
This is intended to be a domain ontology for metallic microstructures, covering aspects like: composition, |
|
|
particles, both stable (primary) and metastable (precipitates), grains, subgrains, |
|
|
grain boundaries & particle free zones (PFZs), texture, dislocations. The aim is to support |
|
|
both microstructure modelling as well as characterisation. |
|
|
|
|
|
:Domain: Materials Science and Engineering |
|
|
:Category: Microstructure |
|
|
:Current Version: None |
|
|
:Last Updated: None |
|
|
:Creator: None |
|
|
:License: None |
|
|
:Format: OWL |
|
|
:Download: `EMMO-based ontology for microstructures (MicroStructures) Homepage <https://github.com/jesper-friis/emmo-microstructure>`_ |
|
|
|
|
|
Graph Metrics |
|
|
------------- |
|
|
- **Total Nodes**: 115 |
|
|
- **Total Edges**: 287 |
|
|
- **Root Nodes**: 1 |
|
|
- **Leaf Nodes**: 37 |
|
|
|
|
|
Knowledge coverage |
|
|
------------------ |
|
|
- Classes: 43 |
|
|
- Individuals: 0 |
|
|
- Properties: 0 |
|
|
|
|
|
Hierarchical metrics |
|
|
-------------------- |
|
|
- **Maximum Depth**: 1 |
|
|
- **Minimum Depth**: 0 |
|
|
- **Average Depth**: 0.67 |
|
|
- **Depth Variance**: 0.22 |
|
|
|
|
|
Breadth metrics |
|
|
------------------ |
|
|
- **Maximum Breadth**: 2 |
|
|
- **Minimum Breadth**: 1 |
|
|
- **Average Breadth**: 1.50 |
|
|
- **Breadth Variance**: 0.25 |
|
|
|
|
|
Dataset Statistics |
|
|
------------------ |
|
|
Generated Benchmarks: |
|
|
- **Term Types**: 0 |
|
|
- **Taxonomic Relations**: 17 |
|
|
- **Non-taxonomic Relations**: 0 |
|
|
- **Average Terms per Type**: 0.00 |
|
|
|
|
|
Usage Example |
|
|
------------- |
|
|
.. code-block:: python |
|
|
|
|
|
from ontolearner.ontology import MicroStructures |
|
|
|
|
|
# Initialize and load ontology |
|
|
ontology = MicroStructures() |
|
|
ontology.load("path/to/ontology.OWL") |
|
|
|
|
|
# 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 |
|
|
|
