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KGloVe DBpedia uniform embeddings

<p>This dataset contains the vectors from computing KGloVe embeddings from a uniformly weighted DBpedia 2016-04 graph.</p> <p>For each entity in the graph, the text file in the zip archive contains a line with the entity name and the embedded vector.</p> <p>The parameter settings for the embedding are as specified in the paper:</p> <p>Michael Cochez, Petar Ristoski, Simone Paolo Ponzetto, and Heiko Paulheim. 2017. Global RDF Vector Space Embeddings. In The Semantic Web &ndash; ISWC 2017: 16th International Semantic Web Conference, Vienna, Austria, October 21&ndash;25, 2017, Proceedings, Part I.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

Topics

kgloveembeddingDBpedia

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