BBC Programmes Ontology (BBCProgrammes)

The BBC Programmes Ontology is a specialized vocabulary for describing television and radio programmes, their structure, and broadcast distribution across BBC platforms. It provides standardized terminology for representing programme hierarchies including brands (show franchises), series/seasons (annual or thematic groupings), episodes (individual content pieces), broadcast events (scheduled transmissions), and broadcast services (channels, stations). BBCProgrammes enables precise semantic annotation of broadcast content metadata including airing dates, durations, genres, and relationships between programmes. The ontology facilitates content discovery and programme management across BBC’s television and radio platforms by providing standardized semantic structures. BBCProgrammes development was informed by extensive BBC programme data modelling experience, ensuring practical applicability in production systems.

Example Usage: Represent a television series using BBCProgrammes terms with brand (Doctor Who), seasons/series (Series 10, Series 11), individual episodes with episode numbers and air dates, and associated broadcast events showing transmission times across different BBC channels.

Metrics & Statistics

Graph Statistics

Total Nodes

218

Total Edges

620

Root Nodes

2

Leaf Nodes

129
Knowledge Coverage Statistics

Classes

40

Individuals

0

Properties

48
Hierarchical Metrics

Maximum Depth

2

Minimum Depth

0

Average Depth

1.57

Depth Variance

0.39
Breadth Metrics

Maximum Breadth

18

Minimum Breadth

2

Average Breadth

9.33

Breadth Variance

43.56
LLMs4OL Dataset Statistics

Term Types

0

Taxonomic Relations

40

Non-taxonomic Relations

19

Average Terms per Type

0.00

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import BBCProgrammes

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