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GTFS-Madrid-Bench

A benchmark to evaluate declarative KG construction engines that can be used to provide access mechanisms to (virtual) knowledge graphs. Our proposal introduces several scenarios that aim at measuring performance and scalability as well as the query capabilities of all these kinds of engines, considering their heterogeneity. The data sources used in our benchmark are derived from the GTFS data files of the subway network of Madrid. They can be scaled up into several formats (CSV, JSON, SQL, and XML). The query set addresses a representative number of SPARQL 1.1 features while covering the usual queries in which data consumers may be interested.

Data and Resources

Cite this as

David Chaves-Fraga, Freddy Priyatna, Jhon Toledo, Daniel Doña, Edna Ruckhaus, Andrea Cimmino, Oscar Corcho (2023). Dataset: GTFS-Madrid-Bench. https://doi.org/10.57702/ldr8qrii

DOI retrieved: October 17, 2023

Additional Info

Field Value
Created October 17, 2023
Last update July 12, 2024
License notspecified: License not specified
Source https://github.com/oeg-upm/gtfs-bench
Defined In https://doi.org/10.1016/j.websem.2020.100596
Author David Chaves-Fraga
More Authors
Freddy Priyatna
Jhon Toledo
Daniel Doña
Edna Ruckhaus
Andrea Cimmino
Oscar Corcho
Author Email David Chaves-Fraga
Maintainer David Chaves-Fraga
Maintainer Email David Chaves-Fraga
Link to ORKG https://www.orkg.org/orkg/paper/R677989
citations [{"cited_in": ""}]
link_orkg https://www.orkg.org/orkg/paper/R677989
publications [{"published_in": ""}]