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This repository introduces RezoJDM16K a French Knowledge Graph Dataset with 53 semantic relations created from RezoJDM. Different graph embeddings have gained from this dataset which are available for semantic link prediction task.

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RezoJDM16k (A French Knowledge Graph DataSet)

This repository introduces RezoJDM16K a French Knowledge Graph Dataset with 53 semantic relations created from RezoJDM. Different graph embeddings have been gained from this dataset which are available for semantic link prediction tasks.

Instruction:

Simply, download the ./benchmarks/RezoJDM16K folder and use it for Knowledge Graph Embedding Models available in OpenKE. Run Jupiter notebook ./src/4-OpenKE_2_KGE_Models.ipynb which is created for this purpose.

Description of Source Notebooks

The Jupiter notebooks in ./src are for recreation the dataset with RezoJDM dump:

  • 1-Dump2CSVs.ipynb : converts RezoJDM dumps to CSV format files with simple preliminary filters.
  • 2-CSV2Triplets.ipynb : converts CSV format files into triplets.
  • 3-Triplets2OpenKE.ipynb : convert triplets to OpenKE graph format.
  • 4-OpenKE_2_KGE_Models.ipynb : use OpenKE graphs for trainnig with different knowledge graph embedding models.

Performance:

Here is the performance of knowledge graph embedding models for RezoJDM16k considering the different evaluation metrics [1]

Model MRR MR Hits@10 Hits@3 Hits@1
TransE 0.179 203.31 0.432 0.242 0.041
TransH 0.218 177.12 0.498 0.291 0.069
TransD 0.216 170.68 0.500 0.287 0.066
DistMult 0.220 194.47 0.445 0.252 0.109
ComplEx 0.253 201.58 0.533 0.304 0.117

Here is the performance (Hits@10) of the different Knowledge Graph Embeddings Models run on RezoJDM16K compared to other English datasets.

Model RezoJDM16k WN18RR FB15k237 WN18RR [2] FB15k237 [2]
TransE 0.422 0.512 0.476 0.501 0.486
TransH 0.474 0.507 0.490 - -
TransD 0.470 0.508 0.487 - -
DistMult 0.424 0.479 0.419 0.49 0.419
ComplEx 0.528 0.485 0.426 0.510 0.428
RotatE * 0.583 0.565 0.522 0.571 0.533

RezoJDM16K Dataset Citation

@inproceedings{mirzapour2022,
  title={Introducing RezoJDM Knowledge Graph DataSet for Link Prediction},
  author={Mehdi Mirzapour, Waleed Ragheb, Mohammad Javad Saeedizade,Kevin Cousot, Helene Jacquenet, Lawrence Carbon, Mathieu Lafourcade},
  booktitle={({{To}} Appear) Proceedings of the 13th Language Resources and Evaluation Conference (LREC)},
  year={2022}
}

RezoJDM Citations

@inproceedings{lafourcade2007making,
  title={Making people play for Lexical Acquisition with the JeuxDeMots prototype},
  author={Lafourcade, Mathieu},
  booktitle={SNLP'07: 7th international symposium on natural language processing},
  pages={7},
  year={2007}
}

License

RezoJDM16K is released under the MIT license.


* These results were not reported in the original paper

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This repository introduces RezoJDM16K a French Knowledge Graph Dataset with 53 semantic relations created from RezoJDM. Different graph embeddings have gained from this dataset which are available for semantic link prediction task.

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