BBC Storyline Ontology (BBCStoryline)¶
The BBC Storyline Ontology is a generic semantic framework for describing, organizing, and managing news stories and narrative content across diverse media publishing platforms. It models the core concept of “Storyline” to distinguish between individual news content pieces (articles, reports, videos) and broader editorial narratives representing events or topics in the world. The ontology captures relationships between stories, events, entities (people, places, organizations), and time periods, enabling sophisticated content organization and discovery. BBCStoryline is designed to be flexible and adaptable, supporting different news publishers’ approaches to story organization while providing standardized semantic structures. The ontology facilitates semantic linking of content across media platforms and enables advanced search, recommendation, and editorial workflow systems.
Example Usage: Represent a news story about a major political event using BBCStoryline terms to link individual articles (multiple reporters’ perspectives), associated entities (politicians, organizations), timeline (chronological events), and related stories covering different aspects of the broader storyline.
Metrics & Statistics¶
Total Nodes |
74 |
Total Edges |
157 |
Root Nodes |
0 |
Leaf Nodes |
53 |
Classes |
6 |
Individuals |
0 |
Properties |
12 |
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 |
2 |
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 BBCStoryline
ontology = BBCStoryline()
ontology.load("path/to/BBCStoryline-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