Gemeinsame Normdatei (GND)

The Gemeinsame Normdatei (GND, Integrated Authority File) is a comprehensive semantic vocabulary and linked data resource developed by the German library and information community for describing and disambiguating authority data. GND provides standardized, machine-readable descriptions of persons, organizations, geographic locations, corporate bodies, and other entities to solve name ambiguity problems in library catalogs and information systems. The ontology offers a rich set of properties and relationships for describing biographical data, organizational hierarchies, place names, and subject matter authorities. GND is widely used in German-speaking libraries, archives, and cultural heritage institutions for authority control and semantic data linking. The vocabulary integrates with broader linked data ecosystems and international authority systems (VIAF, LCSH) to enable cross-institutional data integration and discovery.

Example Usage: Link a library catalog record to GND authority entries for the author (as person), publisher (as corporate body), and subject headings (as topic authorities) to enable semantic discovery and disambiguation across German and international library systems.

Metrics & Statistics

Graph Statistics

Total Nodes

2100

Total Edges

4128

Root Nodes

0

Leaf Nodes

1008

Knowledge Coverage Statistics

Classes

247

Individuals

0

Properties

236

Hierarchical Metrics

Maximum Depth

0

Minimum Depth

0

Average Depth

0.00

Depth Variance

0.00

Breadth Metrics

Maximum Breadth

0

Minimum Breadth

0

Average Breadth

0.00

Breadth Variance

0.00

LLMs4OL Dataset Statistics

Term Types

0

Taxonomic Relations

70

Non-taxonomic Relations

3

Average Terms per Type

0.00

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import GND

ontology = GND()
ontology.load("path/to/GND-ontology.rdf")

# 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