.. sidebar::

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

       * - **Domain**
         - Materials Science and Engineering
       * - **Category**
         - Materials Science
       * - **Current Version**
         - 1.0.0
       * - **Last Updated**
         - 2024-04-12
       * - **Creator**
         - https://orcid.org/0000-0002-4181-2852, https://orcid.org/0000-0002-5174-8508, https://orcid.org/0000-0002-9668-6961
       * - **License**
         - Creative Commons Attribution 4.0 International (CC BY 4.0)
       * - **Format**
         - ttl
       * - **Download**
         - `Download Characterisation Methodology Domain Ontology (CHAMEO) <https://github.com/emmo-repo/domain-characterisation-methodology>`_

Characterisation Methodology Domain Ontology (CHAMEO)
========================================================================================================

The Characterisation Methodology Domain Ontology (CHAMEO) is a domain ontology for materials characterization, representing the evolution of the CHADA template in an ontological form. CHAMEO enables the generation of FAIR documentation for characterization experiments and serves as a foundation for the development of technique-specific and application-specific ontologies in the materials characterization domain. The ontology provides a structured vocabulary for describing experimental setups, measurement techniques, sample properties, data acquisition, and analysis workflows. CHAMEO supports semantic annotation of characterization data, facilitating interoperability, data integration, and advanced analytics across research projects and digital platforms. By providing a standardized framework, CHAMEO enhances reproducibility, knowledge sharing, and cross-laboratory comparison in materials science. The ontology is actively maintained and extended to incorporate new characterization methods, standards, and community requirements.

**Example Usage**:
Annotate a materials characterization experiment with CHAMEO terms to specify the measurement technique (e.g., X-ray diffraction), sample preparation, instrument configuration, and data analysis workflow, enabling semantic search and integration with materials databases.

Metrics & Statistics
--------------------------

.. tab:: Graph


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

        * - **Total Nodes**
          - 802
        * - **Total Edges**
          - 1526
        * - **Root Nodes**
          - 29
        * - **Leaf Nodes**
          - 459
    ::


.. tab:: Coverage


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

        * - **Classes**
          - 203
        * - **Individuals**
          - 0
        * - **Properties**
          - 52

    ::

.. tab:: Hierarchy


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

        * - **Maximum Depth**
          - 12
        * - **Minimum Depth**
          - 0
        * - **Average Depth**
          - 4.25
        * - **Depth Variance**
          - 8.29
    ::


.. tab:: Breadth


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

        * - **Maximum Breadth**
          - 45
        * - **Minimum Breadth**
          - 2
        * - **Average Breadth**
          - 19.92
        * - **Breadth Variance**
          - 154.69
    ::

.. tab:: LLMs4OL


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

        * - **Term Types**
          - 0
        * - **Taxonomic Relations**
          - 195
        * - **Non-taxonomic Relations**
          - 2
        * - **Average Terms per Type**
          - 0.00
    ::

Usage Example
----------------
Use the following code to import this ontology programmatically:

.. code-block:: python

    from ontolearner.ontology import CHAMEO

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