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¶
Total Nodes |
326 |
Total Edges |
816 |
Root Nodes |
16 |
Leaf Nodes |
187 |
Classes |
44 |
Individuals |
1 |
Properties |
30 |
Maximum Depth |
7 |
Minimum Depth |
0 |
Average Depth |
2.24 |
Depth Variance |
5.64 |
Maximum Breadth |
30 |
Minimum Breadth |
1 |
Average Breadth |
8.75 |
Breadth Variance |
88.44 |
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:
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