Download the Vectors
DBpedia
DBpedia embeddings are available for different DBpedia versions and in different RDF2vec flavors.
2016-10
Download the DBpedia vectors of the API here (500 walks, depth: 8, SG, 200 dimensions).
The API always uses the latest embedding version. Older versions are kept for reference.
Further configurations:
- 500 walks, depth: 4, SG, 100 dimensions: Download
- 500 walks, depth: 4, SG, 200 dimensions: Download
- 500 walks, depth: 4, CBOW, 100 dimensions: Download
- 500 walks, depth: 4, CBOW, 200 dimensions: Download
2021-09
- Classic RDF2vec: 500 walks, depth: 4, SG, 200 dimensions: Download
- Classic RDF2vec: 500 walks, depth: 4, SG OA, 200 dimensions: Download
- Classic RDF2vec: 500 walks, depth: 4, CBOW, 200 dimensions: Download
- Classic RDF2vec: 500 walks, depth: 4, CBOW OA, 200 dimensions: Download
- e-RDF2vec: 500 walks, depth: 4, SG, 200 dimensions: Download
- e-RDF2vec: 500 walks, depth: 4, SG OA, 200 dimensions: Download
- e-RDF2vec: 500 walks, depth: 4, CBOW, 200 dimensions: Download
- e-RDF2vec: 500 walks, depth: 4, CBOW OA, 200 dimensions: Download
- p-RDF2vec: 500 walks, depth: 4, SG, 200 dimensions: Download
- p-RDF2vec: 500 walks, depth: 4, SG OA, 200 dimensions: Download
- p-RDF2vec: 500 walks, depth: 4, CBOW, 200 dimensions: Download
- p-RDF2vec: 500 walks, depth: 4, CBOW OA, 200 dimensions: Download
WebIsALOD
Download the WebIsALOD vectors here.
Wiktionary/DBnary
Download the Wiktionary vectors here.
WordNet
Download the WordNet vectors here.
Caligraph
RDF2vec embeddings for CaLiGraph are available for multiple CaLiGraph versions:
CaLiGraph embeddings were trained by
Nicolas Heist
using
jRDF2vec.