Published October 21, 2017
| Version v1
Dataset
Open
KGloVe DBpedia Page Rank split frequency embeddings
- 1. Fraunhofer FIT
- 2. University of Mannheim
Description
This dataset contains the vectors from computing KGloVe embeddings from a Page Rank split frequency 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.
Files
dbpedia_kglove_pageRankSplitFrequency_200.zip
Files
(5.4 GB)
Name | Size | Download all |
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md5:275a9abb1a7177af10d065a43faccaf2
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5.4 GB | Preview Download |