Dislocation Simulation and Model Ontology (DSIM)

The Dislocation Simulation and Model Ontology (DSIM) is a domain ontology developed to model concepts and relationships in the field of discrete dislocation dynamics and microscopy techniques used in dislocation research [1] [2]. DSIM provides a structured vocabulary for representing numerical descriptions of dislocations in simulations, as well as pictorial concepts such as pixels used in experimental images, including TEM, SEM, and FIM images [1].

The ontology supports semantic annotation of dislocation simulation data, microscopy image data, and related modelling information, enabling data integration, semantic search, and reuse in materials science research [1] [2]. By providing a standardized representation of simulation and image-based dislocation concepts, DSIM facilitates knowledge sharing and comparison across dislocation research workflows [1] [2].

Example Usage: Annotate a dislocation dynamics simulation or microscopy dataset with DSIM terms to specify numerical dislocation representations, simulation-related concepts, microscopy image pixels, and image-based dislocation information, enabling semantic search and integration with dislocation research databases [1] [2].

Metrics & Statistics

Graph Statistics

Total Nodes

313

Total Edges

673

Root Nodes

19

Leaf Nodes

119

Knowledge Coverage Statistics

Classes

47

Individuals

0

Properties

78

Hierarchical Metrics

Maximum Depth

7

Minimum Depth

0

Average Depth

2.05

Depth Variance

3.85

Breadth Metrics

Maximum Breadth

19

Minimum Breadth

1

Average Breadth

7.62

Breadth Variance

29.98

LLMs4OL Dataset Statistics

Term Types

0

Taxonomic Relations

51

Non-taxonomic Relations

6

Average Terms per Type

0.00

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import DSIM

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

References