Virtual Materials Marketplace Ontologies (VIMMP)

The Virtual Materials Marketplace Ontologies (VIMMP) are developed as part of the Virtual Materials Marketplace project, which aims to provide an open platform for accessing services related to materials modeling. VIMMP employs a system of marketplace-level ontologies to characterize services, models, and interactions between users, using the European Materials and Modelling Ontology (EMMO) as a top-level ontology.

The ontologies provide a structured vocabulary for describing services, models, and interactions, supporting both theoretical and experimental research in materials modeling. VIMMP ontologies enable the annotation of data stored in the ZONTAL Space component and support the ingest and retrieval of data and metadata at the VIMMP marketplace front-end.

Typical applications of VIMMP include the development of new materials modeling services, the optimization of modeling workflows, and the integration of diverse datasets to support advanced analytics and knowledge discovery. By providing a standardized vocabulary and framework, VIMMP enhances collaboration and innovation in the field of materials modeling.

Example Usage: Annotate a materials modeling project with VIMMP terms to specify service types, models, and interactions, enabling semantic search and integration with materials informatics platforms.

Metrics & Statistics

Graph Statistics

Total Nodes

6149

Total Edges

15298

Root Nodes

841

Leaf Nodes

1948
Knowledge Coverage Statistics

Classes

1234

Individuals

911

Properties

771
Hierarchical Metrics

Maximum Depth

20

Minimum Depth

0

Average Depth

3.17

Depth Variance

12.15
Breadth Metrics

Maximum Breadth

1383

Minimum Breadth

3

Average Breadth

263.38

Breadth Variance

147256.81
LLMs4OL Dataset Statistics

Term Types

1763

Taxonomic Relations

2474

Non-taxonomic Relations

278

Average Terms per Type

6.14

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import VIMMP

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