Published October 21, 2017
| Version v1
Dataset
Open
KGloVe DBpedia inverse object split embeddings
Authors/Creators
- 1. Fraunhofer FIT
- 2. University of Mannheim
Description
This dataset contains the vectors from computing KGloVe embeddings from a inverse object split weighted DBpedia 2016-04 graph.
For each entity in the graph, the text file in the zip archive contains a line with the entity name and the embedded vector.
The parameter settings for the embedding are as specified in the paper:
Michael Cochez, Petar Ristoski, Simone Paolo Ponzetto, and Heiko Paulheim. 2017. Global RDF Vector Space Embeddings. In The Semantic Web – ISWC 2017: 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, Proceedings, Part I.