NanoMine Ontology (NanoMine)

The NanoMine Ontology is a domain ontology developed to support research in polymer nanocomposites [1] [#nanomine-schema]. It provides a structured vocabulary for representing relationships between polymer nanocomposite composition, processing methods, microstructure, characterization data, and resulting material properties [#nanomine-ontology-paper] [2].

NanoMine supports semantic annotation, data integration, search, reuse, and analysis of polymer nanocomposite data [1] [#nanomine-schema]. The ontology helps researchers explore processing-structure-property relationships and supports hypothesis development about how material composition and processing conditions affect nanocomposite performance [#nanomine-schema]. By providing a standardized semantic framework, NanoMine facilitates interoperability, knowledge sharing, and data-driven research in polymer nanocomposites [1] [2].

Example Usage: Annotate a polymer nanocomposite dataset with NanoMine terms to specify polymer matrix, filler material, filler loading, processing method, characterization technique, microstructure information, and measured properties, enabling semantic search and integration with materials informatics platforms [1] [2].

Metrics & Statistics

Graph Statistics

Total Nodes

496

Total Edges

971

Root Nodes

0

Leaf Nodes

263

Knowledge Coverage Statistics

Classes

157

Individuals

0

Properties

0

Hierarchical Metrics

Maximum Depth

0

Minimum Depth

0

Average Depth

0.00

Depth Variance

0.00

Breadth Metrics

Maximum Breadth

0

Minimum Breadth

0

Average Breadth

0.00

Breadth Variance

0.00

LLMs4OL Dataset Statistics

Term Types

0

Taxonomic Relations

212

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 NanoMine

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

References