Virtual Materials Marketplace Ontologies (VIMMP)

The Virtual Materials Marketplace Ontologies (VIMMP) are a system of marketplace-level ontologies developed as part of the Virtual Materials Marketplace project [1]. The VIMMP project aims to provide an open platform for providing and accessing services related to materials modelling [1]. Within VIMMP, the ontologies are used to characterise services, models, and interactions between users, with the European Materials and Modelling Ontology (EMMO) employed as a top-level ontology [1].

The VIMMP ontologies support semantic annotation of marketplace data stored in the ZONTAL Space component and help with the ingest and retrieval of data and metadata at the VIMMP marketplace frontend [1]. By providing a structured semantic framework, the ontologies support interoperability, data management, knowledge sharing, and integration of materials modelling services and workflows [1].

Example Usage: Annotate a materials modelling project with VIMMP ontology terms to specify service types, models, simulation workflows, user interactions, and marketplace metadata, enabling semantic search and integration with materials modelling and marketplace platforms [1].

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

References