Telecommunication Networks as Knowledge Graph Research Datasets
Authors/Creators
- 1. Saint-Petersburg Electrotechnical University "LETI''
- 2. National Research University Higher School of Economics
- 3. St. Petersburg Federal Research Centre of the Russian Academy of Sciences (SPCRAS)
- 4. School of Artificial Intelligence, Jilin University
Description
Telecommunication Networks as Knowledge Graph Research Datasets.
All the datasets were created using the PC with following parameters: Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz/16.00 GB RAM 1TB SSD
All the software which is used for the datasets creation is available here: https://github.com/kulikovia/TN_KG_research
The datasets and supplementary files description of follow:
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# |
File |
Description |
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|
1. |
Computational_complexity_v5_ (ENG).pdf |
SPARQL performance tests report |
|
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2. |
Synthesis_performance_tests_results_v1.pdf |
Inductive and deductive synthesis performance tests report |
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| 3. | Computational_complexity_Parallel_v2_ (ENG).pdf | Comparision of SPARQL performanse using multi-level KG structure approach and execution using distributed RDF storege | |
| 4. | Synthesis_additional_experiments_v4.pdf | Additional Inductive and deductive synthesis performance tests report (with different elements distribution by levels) | |
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5. |
Dataset_10k_hierarchical.zip |
Inductive and deductive synthesis performance tests: Input data for 10k hierarchical model synthesis (CSV) |
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6. |
Dataset_10k_one-level.zip |
Inductive and deductive synthesis performance tests: Input data for 10k one-level model synthesis (CSV) |
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7. |
Dataset_1k_hierarchical.zip |
Inductive and deductive synthesis performance tests: Input data for 1k hierarchical model synthesis (CSV) |
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8. |
Dataset_1k_one-level.zip |
Inductive and deductive synthesis performance tests: Input data for 1k one-level model synthesis (CSV) |
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9. |
Dataset_200k_hierarchical.zip |
Inductive and deductive synthesis performance tests: Input data for 200k hierarchical model synthesis (CSV) |
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10. |
Dataset_200k_one-level.zip |
Inductive and deductive synthesis performance tests: Input data for 200k one-level model synthesis (CSV) |
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11. |
Dataset_500k_hierarchical.zip |
Inductive and deductive synthesis performance tests: Input data for 500k hierarchical model synthesis (CSV) |
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12. |
Dataset_500k_one-level.zip |
Inductive and deductive synthesis performance tests: Input data for 500k one-level model synthesis (CSV) |
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13. |
Synthesis_Hierarchical_RDF-XML.zip |
Inductive and deductive synthesis performance tests: RDF/XML datasets for hierarchical models (1k, 10k, 200k, 500k) |
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|
14. |
Synthesis_Linear_RDF-XML.zip |
Inductive and deductive synthesis performance tests: RDF/XML datasets for hierarchical models (1k, 10k, 200k, 500k) |
|
|
15. |
Hierarchy_model_results_Exp_10M.zip |
SPARQL performance tests: Datasets for 10M, 3-5-levels, exponential distributed model with connections between source models on levels 2 and 3 in RDF/XML format |
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| 16. | Hierarchy_model_results_Exp_15M.zip |
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| 17. | Hierarchy_model_results_Exp_200k.zip |
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| 18. | Hierarchy_model_results_Linear_10M.zip |
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| 19. | Hierarchy_model_results_Linear_15M.zip |
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| 20. | Hierarchy_model_results_Linear_200k.zip |
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| 21. | Hierarchy_model_results_Quadro_10M.zip |
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| 22. | Hierarchy_model_results_Quadro_15M.zip |
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| 23. | Hierarchy_model_results_Quadro_200k.zip |
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| 24. | Hierarchy_model_results_Uniform_10M.zip |
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| 25. | Hierarchy_model_results_Uniform_15M.zip |
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| 26. | Hierarchy_model_results_Uniform_200k.zip |
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27. |
Linear_model_resuts.zip |
SPARQL performance tests: Datasets for 200k, 10M, 15M, one-level model in RDF/XML format |
Files
Computational_complexity_Parallel_v2_ (ENG).pdf
Files
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