Dislocation Simulation and Model Ontology (DSIM)
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Overview
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Dislocation simulation and model ontology (DSIM) is an ontology developed to model various concepts
and relationships in the discrete dislocation dynamics domain and microscopy techniques
used in the dislocation domain. The various concepts are the numerical representation
of dislocation applied in the dislocation dynamic simulation and the pictorial concept of pixel
applied in representing dislocation in the experimental image, eg., TEM image, SEM image, and FIM image.

:Domain: Materials Science and Engineering
:Category: Materials Science
:Current Version: 1.0
:Last Updated: 17.08.2023
:Creator: Ahmad Zainul Ihsan
:License: Creative Commons Attribution 3.0 Unported (CC BY 3.0)
:Format: OWL
:Download: `Dislocation Simulation and Model Ontology (DSIM) Homepage <https://github.com/OCDO/DSIM>`_

Graph Metrics
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    - **Total Nodes**: 313
    - **Total Edges**: 673
    - **Root Nodes**: 19
    - **Leaf Nodes**: 119

Knowledge coverage
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    - Classes: 47
    - Individuals: 0
    - Properties: 78

Hierarchical metrics
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    - **Maximum Depth**: 7
    - **Minimum Depth**: 0
    - **Average Depth**: 2.05
    - **Depth Variance**: 3.85

Breadth metrics
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    - **Maximum Breadth**: 19
    - **Minimum Breadth**: 1
    - **Average Breadth**: 7.62
    - **Breadth Variance**: 29.98

Dataset Statistics
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Generated Benchmarks:
    - **Term Types**: 0
    - **Taxonomic Relations**: 51
    - **Non-taxonomic Relations**: 6
    - **Average Terms per Type**: 0.00

Usage Example
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.. code-block:: python

    from ontolearner.ontology import DSIM

    # Initialize and load ontology
    ontology = DSIM()
    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