About DanNet

DanNet is a WordNet for the Danish language created as a collaboration between DSL and CST. This new edition of the language resource was first published in 2023 and has been supported by funding from the Carlsberg Foundation.

The structure of a WordNet

A WordNet is a lexico-semantic network graph that shows how senses of a language relate to others through named relations. One can also think of a WordNet as a kind of machine-readable dictionary. To get a sense of what DanNet is, you can try searching for a lemma by clicking on the looking glas in the upper left corner.

Unlike a normal dictionary, the definitions of words aren't central; instead, relations to other words are the important part. For example, in DanNet you can see that a Swiss willow is a kind of bush, that a gazebo is located in a garden, that "fiberdrys" is for eating, and that cakes are typically produced by baking and usually made from flour and sugar.

Download our data

DanNet is based on the Ontolex standard with additions from the Global WordNet Association. You can explore DanNet directly on wordnet.dk, but you may also download our data as an RDF data set or in a slightly more limited CSV edition. All our data sets are published under the CC BY-SA 4.0 license.

DanNet is integrated with COR and DDS too, as well as the English WordNet (you may download their data set from that page) which we have extended with RDF labels resembling those used in DanNet. These alternative RDF data sets can also be downloaded on this page (COR integration, DDS integration, OEWN extension). We have also included the CILI data in our database, as it is used as a common integration point for different WordNets.

In earlier releases, you could also download a complete copy of all the data that can be found on wordnet.dk/dannet, including logically inferred data and associated RDF schemas. However, this has proven too resource-intensive to generate as part of a regular DanNet release. We will try to remedy this in the future.


The following documents are only available in English and mostly for developers: