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Evaluation Framework tests on RDF2Vec

<p>The ZIP file contains the results of the tests run through the evaluation framework available at&nbsp;https://git.rwth-aachen.de/KGEmbedding/evaluationFramework executed on vectors produce by RDF2Vec combined with 11 different weighting techniques, described in&nbsp;<br> <br> Cochez, M., Ristoski, P., Ponzetto, S.P., Paulheim, H.:<br> Biased graph walks for RDF graph embeddings.<br> In: Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics (2017).<br> <br> The framework tested the vectors upon Machine Learning tasks - classification, regression, and clustering - and semantic tasks - document modeling, semantic analogies, and entity relatedness.&nbsp;<br> <br> At the top level, there is a summary of the results, detailed in the inner folder.&nbsp;</p>

ShareScore

24/100

Overall dataset sharing score

Score breakdown

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

Stewardship
8
Harmonization
4
Access
12
Reuse readiness
0
Engagement
0

Topics