Crystallographic Defect Core Ontology (CDCO)¶
The Crystallographic Defect Core Ontology (CDCO) is a domain ontology designed to provide a unified framework for representing and integrating data about crystallographic defects in materials science. CDCO defines common terminology for various types of defects, including vacancies, interstitials, dislocations, grain boundaries, and stacking faults, as well as their properties and relationships. The ontology supports semantic annotation of experimental and computational data, enabling interoperability, data integration, and advanced analysis across materials databases and research platforms. CDCO is designed for extensibility, allowing researchers to describe new defect types, characterization methods, and material systems. By providing a standardized vocabulary, CDCO facilitates cross-study comparison, defect modeling, and knowledge sharing in materials science. The ontology is actively maintained and extended to incorporate new concepts and requirements from the materials science community.
Example Usage: Annotate a materials database with CDCO terms to specify the types of crystallographic defects present in a sample, their properties (e.g., density, energy), and relationships to material processing conditions, enabling semantic search and integration with defect modeling tools.
Metrics & Statistics¶
Total Nodes |
85 |
Total Edges |
123 |
Root Nodes |
8 |
Leaf Nodes |
53 |
Classes |
7 |
Individuals |
0 |
Properties |
2 |
Maximum Depth |
1 |
Minimum Depth |
0 |
Average Depth |
0.11 |
Depth Variance |
0.10 |
Maximum Breadth |
8 |
Minimum Breadth |
1 |
Average Breadth |
4.50 |
Breadth Variance |
12.25 |
Term Types |
0 |
Taxonomic Relations |
4 |
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 CDCO
ontology = CDCO()
ontology.load("path/to/CDCO-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