DanNet is a WordNet for the Danish language. DanNet uses RDF as its native representation at both the database level, in the application space, and as its primary serialisation format.
- Browse the data at wordnet.dk
- Query the data by integrating with AI
- Download datasets from the releases page
- Dataset Formats
- Companion Datasets
- Standards
- LLM Integration (AI)
- Implementation
- Setup
- Deployment
- Database Release Workflow
DanNet is available in multiple formats to maximise compatibility:
| Format | Description |
|---|---|
| RDF (Turtle) | Native representation. Load into any RDF graph database (such as Apache Jena) and query with SPARQL. |
| CSV | Published with column metadata as CSVW. |
| WN-LMF | XML format compatible with Python libraries like wn. |
import wn
wn.add("dannet-wn-lmf.xml.gz")
for synset in wn.synsets('kage'):
print((synset.lexfile() or "?") + ": " + (synset.definition() or "?"))While every format includes all synsets/senses/words, the CSV and WN-LMF variants do not include every data point:
- CSV: Some data is lost when converting from an open graph to fixed tables.
- WN-LMF: Only official GWA relations are included per the standard (proprietary DanNet relations from the
For the complete dataset, use the RDF format or browse at wordnet.dk.