DBpedia Ontology (DBpedia)

The DBpedia ontology is generated from manually curated specifications in the DBpedia Mappings Wiki, providing a structured semantic model extracted from Wikipedia’s rich content across multiple language editions. Each DBpedia release corresponds to a new Wikipedia data extraction, resulting in continuously evolving ontology versions that reflect growing knowledge representation in Wikipedia. The DBpedia ontology has become a shallow but comprehensive cross-domain ontology through crowd-sourced development involving thousands of contributors worldwide. It covers diverse knowledge domains including people, organizations, places, creative works, scientific concepts, and many others with relationships between them. DBpedia serves as a critical bridge between Wikipedia’s unstructured information and the semantic web, enabling knowledge graph applications and linked data integration. The ontology is widely used in knowledge graph construction, information retrieval, entity linking, and semantic data integration projects leveraging Wikipedia’s comprehensive and multilingual knowledge base.

Example Usage: Query DBpedia to find relationships between entities (e.g., all people born in Berlin, all films directed by a specific director, companies in a particular industry) by using ontology classes (Person, Film, Company) and properties to enable advanced knowledge discovery and data analytics.

Metrics & Statistics

Graph Statistics

Total Nodes

18819

Total Edges

32745

Root Nodes

16

Leaf Nodes

14867
Knowledge Coverage Statistics

Classes

790

Individuals

0

Properties

3029
Hierarchical Metrics

Maximum Depth

6

Minimum Depth

0

Average Depth

2.61

Depth Variance

1.66
Breadth Metrics

Maximum Breadth

145

Minimum Breadth

12

Average Breadth

61.57

Breadth Variance

2369.67
LLMs4OL Dataset Statistics

Term Types

0

Taxonomic Relations

799

Non-taxonomic Relations

1665

Average Terms per Type

0.00

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import DBpedia

ontology = DBpedia()
ontology.load("path/to/DBpedia-ontology.owl")

# 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