.. sidebar::

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

       * - **Domain**
         - Social Sciences
       * - **Category**
         - Biographical Information
       * - **Current Version**
         - 0.1
       * - **Last Updated**
         - 2010-05-10
       * - **Creator**
         - Ian Davis and David Galbraith
       * - **License**
         - Public Domain
       * - **Format**
         - rdf
       * - **Download**
         - `Download BIO: A vocabulary for biographical information (BIO) <https://vocab.org/bio/>`_

BIO: A vocabulary for biographical information (BIO)
========================================================================================================

The BIO vocabulary is a domain ontology for describing biographical information about people, their backgrounds, and genealogical relationships. It models a person's life as a series of interconnected key events (birth, marriage, employment, death, etc.), providing a framework for weaving together biographical and genealogical data. BIO defines an event-centric approach, supplying a set of core event types and properties that are person-centric, making it suitable for representing life histories, family trees, and career trajectories. The ontology is designed for extensibility, allowing other vocabularies to build upon its event framework for specialized use cases. BIO is widely used in digital humanities, genealogy platforms, and social history research to enable semantic annotation, data integration, and advanced queries on biographical datasets. By providing a standardized vocabulary, BIO facilitates interoperability and knowledge sharing across biographical and genealogical information systems.

**Example Usage**:
Annotate a genealogy database with BIO terms to describe a person's birth, marriage, and employment events, linking them to dates, places, and related individuals for semantic search and family history visualization.

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

.. tab:: Graph


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

        * - **Total Nodes**
          - 326
        * - **Total Edges**
          - 816
        * - **Root Nodes**
          - 16
        * - **Leaf Nodes**
          - 187
    ::


.. tab:: Coverage


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

        * - **Classes**
          - 44
        * - **Individuals**
          - 1
        * - **Properties**
          - 30

    ::

.. tab:: Hierarchy


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

        * - **Maximum Depth**
          - 7
        * - **Minimum Depth**
          - 0
        * - **Average Depth**
          - 2.24
        * - **Depth Variance**
          - 5.64
    ::


.. tab:: Breadth


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

        * - **Maximum Breadth**
          - 30
        * - **Minimum Breadth**
          - 1
        * - **Average Breadth**
          - 8.75
        * - **Breadth Variance**
          - 88.44
    ::

.. tab:: LLMs4OL


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

        * - **Term Types**
          - 1
        * - **Taxonomic Relations**
          - 58
        * - **Non-taxonomic Relations**
          - 0
        * - **Average Terms per Type**
          - 1.00
    ::

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

.. code-block:: python

    from ontolearner.ontology import BIO

    ontology = BIO()
    ontology.load("path/to/BIO-ontology.rdf")

    # 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