BIO: A vocabulary for biographical information (BIO)

The BIO vocabulary is a domain vocabulary for describing biographical information about people, their backgrounds, and genealogical relationships [1] [2]. It models a person’s life as a series of interconnected key events, such as birth, marriage, employment, and death, around which additional biographical and genealogical information can be organized [1]. 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, career trajectories, and historical biographies [1] [2]. The vocabulary is designed for extensibility, allowing other vocabularies to build upon its event framework for specialized use cases [1]. BIO can be used in digital humanities, genealogy platforms, library metadata, and social history research to support semantic annotation, data integration, and structured queries over biographical datasets [1]. By providing a standardized vocabulary for biographical events, BIO facilitates interoperability and knowledge sharing across biographical and genealogical information systems [2].

Example Usage: Annotate a genealogy database with BIO terms to describe a person’s birth, marriage, employment, and death events, linking them to dates, places, and related individuals for semantic search, family history visualization, and biographical data integration [1] [2].

Metrics & Statistics

Graph Statistics

Total Nodes

326

Total Edges

816

Root Nodes

16

Leaf Nodes

187
Knowledge Coverage Statistics

Classes

44

Individuals

1

Properties

30
Hierarchical Metrics

Maximum Depth

7

Minimum Depth

0

Average Depth

2.24

Depth Variance

5.64
Breadth Metrics

Maximum Breadth

30

Minimum Breadth

1

Average Breadth

8.75

Breadth Variance

88.44
LLMs4OL Dataset Statistics

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

References