Evaluation Framework tests on RDF2Vec
<p>The ZIP file contains the results of the tests run through the evaluation framework available at https://git.rwth-aachen.de/KGEmbedding/evaluationFramework executed on vectors produce by RDF2Vec combined with 11 different weighting techniques, described in <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. <br> <br> At the top level, there is a summary of the results, detailed in the inner folder. </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