.. sidebar::

    .. list-table:: **Ontology Card**
       :header-rows: 0

       * - **Domain**
         - Materials Science and Engineering
       * - **Category**
         - Materials Modeling
       * - **Current Version**
         - None
       * - **Last Updated**
         - 2021-01-02
       * - **Creator**
         - Ilian T. Todorov, Martin Thomas Horsch, Michael A. Seaton, Silvia Chiacchiera
       * - **License**
         - Creative Commons Attribution 4.0 International (CC BY 4.0)
       * - **Format**
         - owl
       * - **Download**
         - `Download Virtual Materials Marketplace Ontologies (VIMMP) <https://matportal.org/ontologies/VIMMP_ONTOLOGIES>`_

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
--------------------------

.. tab:: Graph


    .. list-table:: Graph Statistics
        :widths: 50 50
        :header-rows: 0

        * - **Total Nodes**
          - 6149
        * - **Total Edges**
          - 15298
        * - **Root Nodes**
          - 841
        * - **Leaf Nodes**
          - 1948
    ::


.. tab:: Coverage


    .. list-table:: Knowledge Coverage Statistics
        :widths: 50 50
        :header-rows: 0

        * - **Classes**
          - 1234
        * - **Individuals**
          - 911
        * - **Properties**
          - 771

    ::

.. tab:: Hierarchy


    .. list-table:: Hierarchical Metrics
        :widths: 50 50
        :header-rows: 0

        * - **Maximum Depth**
          - 20
        * - **Minimum Depth**
          - 0
        * - **Average Depth**
          - 3.17
        * - **Depth Variance**
          - 12.15
    ::


.. tab:: Breadth


    .. list-table:: Breadth Metrics
        :widths: 50 50
        :header-rows: 0

        * - **Maximum Breadth**
          - 1383
        * - **Minimum Breadth**
          - 3
        * - **Average Breadth**
          - 263.38
        * - **Breadth Variance**
          - 147256.81
    ::

.. tab:: LLMs4OL


    .. list-table:: LLMs4OL Dataset Statistics
        :widths: 50 50
        :header-rows: 0

        * - **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:

.. code-block:: python

    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