BBC Wildlife Ontology (BBCWildlife)¶
The BBC Wildlife Ontology is a specialized vocabulary for describing and classifying biological species, taxa, and their ecological characteristics in a machine-readable format. It provides standardized terminology for representing biological classification hierarchies including species names, taxonomic ranks (kingdom, phylum, class, order, family, genus, species), and relationships between taxa. The ontology enables semantic annotation of wildlife information including habitat descriptions, conservation status, behavioral characteristics, geographic distribution, and ecological roles. BBCWildlife supports wildlife content discovery and semantic linking across BBC media platforms and broader biodiversity databases. The ontology facilitates knowledge integration in natural history and biodiversity research by providing standardized semantic representations of organisms and their ecological contexts. Example Usage: Annotate a wildlife documentary or encyclopedia entry about a species (e.g., tiger, African elephant) with BBCWildlife terms for taxonomic classification, habitat (forest, savanna, wetland), conservation status (endangered, vulnerable), behavior (predatory, migratory), and geographic distribution.
Metrics & Statistics¶
Total Nodes |
157 |
Total Edges |
414 |
Root Nodes |
1 |
Leaf Nodes |
93 |
Classes |
31 |
Individuals |
0 |
Properties |
31 |
Maximum Depth |
1 |
Minimum Depth |
0 |
Average Depth |
0.67 |
Depth Variance |
0.22 |
Maximum Breadth |
2 |
Minimum Breadth |
1 |
Average Breadth |
1.50 |
Breadth Variance |
0.25 |
Term Types |
0 |
Taxonomic Relations |
23 |
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 BBCWildlife
ontology = BBCWildlife()
ontology.load("path/to/BBCWildlife-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