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 [1] [2] [3]. GND provides standardized, machine-readable descriptions of entities such as persons, corporate bodies, conferences and events, geographic entities, topics, and works relating to cultural and academic collections [1] [2]. The GND Ontology defines RDF classes and relations used to describe Integrated Authority File data in RDF format, enabling authority data to be represented in Semantic Web and linked data environments [2] [3]. GND offers rich properties and relationships for describing names, biographical information, organizational relationships, geographic entities, subject authorities, and links to related resources [2]. It is widely used by libraries and is increasingly relevant for archives, museums, and cultural heritage institutions for authority control, entity identification, and semantic data linking [1] [3]. The vocabulary supports integration with broader linked data ecosystems by enabling GND entities to be linked with other authority files and external knowledge resources [2] [3].

Example Usage: Link a library catalog record to GND authority entries for the author as a person, the publisher as a corporate body, and subject headings as topic authorities. This enables semantic discovery, entity disambiguation, and cross-institutional linking across German and international library systems [1] [2] [3].

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

References