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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Telecommunication Networks as Knowledge Graph Research Datasets

Authors: Alexander Vodyaho; Dmitry Ignatov; Igor Kulikov; Nataly Zhukova;

Telecommunication Networks as Knowledge Graph Research Datasets

Abstract

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: # File Description 1. Computational_complexity_v4_ (ENG).pdf SPARQL performance tests report 2. Synthesis_performance_tests_results_v1.pdf Inductive and deductive synthesis performance tests report 3. Dataset_10k_hierarchical.zip Inductive and deductive synthesis performance tests: Input data for 10k hierarchical model synthesis (CSV) 4. Dataset_10k_one-level.zip Inductive and deductive synthesis performance tests: Input data for 10k one-level model synthesis (CSV) 5. Dataset_1k_hierarchical.zip Inductive and deductive synthesis performance tests: Input data for 1k hierarchical model synthesis (CSV) 6. Dataset_1k_one-level.zip Inductive and deductive synthesis performance tests: Input data for 1k one-level model synthesis (CSV) 7. Dataset_200k_hierarchical.zip Inductive and deductive synthesis performance tests: Input data for 200k hierarchical model synthesis (CSV) 8. Dataset_200k_one-level.zip Inductive and deductive synthesis performance tests: Input data for 200k one-level model synthesis (CSV) 9. Dataset_500k_hierarchical.zip Inductive and deductive synthesis performance tests: Input data for 500k hierarchical model synthesis (CSV) 10. Dataset_500k_one-level.zip Inductive and deductive synthesis performance tests: Input data for 500k one-level model synthesis (CSV) 11. Synthesis_Hierarchical_RDF-XML.zip Inductive and deductive synthesis performance tests: RDF/XML datasets for hierarchical models (1k, 10k, 200k, 500k) 12. Synthesis_Linear_RDF-XML.zip Inductive and deductive synthesis performance tests: RDF/XML datasets for hierarchical models (1k, 10k, 200k, 500k) 13. SPARQL_Hierarch_model_(3-2-2)_100k.zip SPARQL performance tests: Datasets for 100k 3-levels model with connections between source models on level 2 in RDF/XML format 14. SPARQL_Hierarch_model_(3-2-2)_15M.zip SPARQL performance tests: Datasets for 100k 3-levels model with connections between source models on level 2 in RDF/XML format 15. SPARQL_Hierarch_model_(3-2-2)_5M.zip SPARQL performance tests: Datasets for 100k 3-levels model with connections between source models on level 2 in RDF/XML format 16. SPARQL_Hierarch_model_(3-3-3)_100k.zip SPARQL performance tests: Datasets for 100k 3-levels model with connections between source models on level 3 in RDF/XML format 17. SPARQL_Hierarch_model_(3-3-3)_15M.zip SPARQL performance tests: Datasets for 100k 3-levels model with connections between source models on level 3 in RDF/XML format 18. SPARQL_Hierarch_model_(3-3-3)_5M.zip SPARQL performance tests: Datasets for 100k 3-levels model with connections between source models on level 3 in RDF/XML format 19. SPARQL_Hierarch_model_(4-2-2)_100k.zip SPARQL performance tests: Datasets for 100k 4-levels model with connections between source models on level 2 in RDF/XML format 20. SPARQL_Hierarch_model_(4-2-2)_15M.zip SPARQL performance tests: Datasets for 100k 4-levels model with connections between source models on level 2 in RDF/XML format 21. SPARQL_Hierarch_model_(4-2-2)_5M.zip SPARQL performance tests: Datasets for 100k 4-levels model with connections between source models on level 2 in RDF/XML format 22. SPARQL_Hierarch_model_(5-2-2)_100k.zip SPARQL performance tests: Datasets for 100k 5-levels model with connections between source models on level 2 in RDF/XML format 23. SPARQL_Hierarch_model_(5-2-2)_15M.zip SPARQL performance tests: Datasets for 100k 5-levels model with connections between source models on level 2 in RDF/XML format 24. SPARQL_Hierarch_model_(5-2-2)_5M.zip SPARQL performance tests: Datasets for 100k 5-levels model with connections between source models on level 2 in RDF/XML format 25. SPARQL_Linear_model_100k.zip SPARQL performance tests: Datasets for 100k one-level model in RDF/XML format 26. SPARQL_Linear_model_15M.zip SPARQL performance tests: Datasets for 15M one-level model in RDF/XML format 27. SPARQL_Linear_model_5M.zip SPARQL performance tests: Datasets for 15M one-level model in RDF/XML format

Keywords

Synthesis Method, Telecommunication Network, Knowledge Graphs

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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