PRovenance Information in MAterials science (PRIMA)

PRIMA is a comprehensive ontology that formalizes and captures provenance information essential for understanding the complete lifecycle and traceability of materials science data, experiments, and computational workflows. It provides structured vocabulary for describing the origins, history, transformations, and chain of custody of materials science information from experimental synthesis through characterization to computational modeling. PRIMA enables documentation of experimental procedures, computational methods, instruments used, software tools employed, and human researchers involved in materials science investigations. The ontology captures temporal information (when experiments were conducted), spatial context (where work was performed), and relationships between different research activities and resulting data. PRIMA facilitates reproducibility, data authentication, and knowledge integration in materials science by providing standardized provenance metadata compatible with linked data standards.

Example Usage: Annotate a materials science dataset with PRIMA terms describing experimental origin (synthesis method, instrument, date), processing steps applied, computational analyses performed, and final data product generation, enabling complete traceability and reproducibility of materials discovery workflows.

Metrics & Statistics

Graph Statistics

Total Nodes

444

Total Edges

1073

Root Nodes

18

Leaf Nodes

135
Knowledge Coverage Statistics

Classes

67

Individuals

0

Properties

67
Hierarchical Metrics

Maximum Depth

14

Minimum Depth

0

Average Depth

4.39

Depth Variance

16.39
Breadth Metrics

Maximum Breadth

27

Minimum Breadth

2

Average Breadth

7.80

Breadth Variance

48.56
LLMs4OL Dataset Statistics

Term Types

0

Taxonomic Relations

186

Non-taxonomic Relations

1

Average Terms per Type

0.00

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import PRIMA

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