BBC Politics News Ontology (BBCPolitics)¶
The BBC Politics Ontology provides a formal vocabulary for describing and classifying political concepts, entities, and events as they appear in BBC news coverage. It models key political domain concepts including politicians, political parties, government institutions, legislative processes, electoral systems, and political ideologies. The ontology captures relationships between political entities (e.g., politicians affiliated with parties, parties contesting elections) and enables semantic annotation of news articles, television programs, and online content related to politics. It supports content discovery and automated linking of related political news stories across BBC’s diverse platforms and archives. The ontology follows BBC’s linked data principles and integrates with other BBC ontologies (People, Places, Organizations) to provide comprehensive semantic context.
Example Usage: Annotate a political news article with BBCPolitics terms to identify mentioned politicians (as foaf:Person instances), their party affiliations, relevant legislation being discussed, and electoral contexts.
Metrics & Statistics¶
Total Nodes |
43 |
Total Edges |
75 |
Root Nodes |
0 |
Leaf Nodes |
30 |
Classes |
7 |
Individuals |
0 |
Properties |
5 |
Maximum Depth |
0 |
Minimum Depth |
0 |
Average Depth |
0.00 |
Depth Variance |
0.00 |
Maximum Breadth |
0 |
Minimum Breadth |
0 |
Average Breadth |
0.00 |
Breadth Variance |
0.00 |
Term Types |
0 |
Taxonomic Relations |
6 |
Non-taxonomic Relations |
0 |
Average Terms per Type |
0.00 |
Usage Example¶
Use the following code to import this ontology programmatically:
from ontolearner.ontology import BBCPolitics
ontology = BBCPolitics()
ontology.load("path/to/BBCPolitics-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