Evaluation Framework tests on RDF2Vec
Authors/Creators
- 1. University of Salerno
- 2. Fraunhofer FIT
- 3. Almaden Research Center
Description
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
Cochez, M., Ristoski, P., Ponzetto, S.P., Paulheim, H.:
Biased graph walks for RDF graph embeddings.
In: Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics (2017).
The framework tested the vectors upon Machine Learning tasks - classification, regression, and clustering - and semantic tasks - document modeling, semantic analogies, and entity relatedness.
At the top level, there is a summary of the results, detailed in the inner folder.
Files
Files
(1.4 MB)
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