FedShop: A Benchmark for Testing the Scalability of SPARQL Federation Engines - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

FedShop: A Benchmark for Testing the Scalability of SPARQL Federation Engines

Résumé

While several approaches to query a federation of SPARQL endpoints have been proposed in the literature, very little is known about the effectiveness of these approaches and the behavior of the resulting query engines for cases in which the number of federation members increases. The existing benchmarks that are typically used to evaluate SPARQL federation engines do not consider such a form of scalability. In this paper, we set out to close this knowledge gap by investigating the behavior of 4 state-of-the-art SPARQL federation engines using a novel benchmark designed for scalability experiments. Based on the benchmark, we show that scalability is a challenge for each of these engines, especially with respect to the effectiveness of their source selection & query decomposition approaches. FedShop is freely available online at: https://github.com/GDD-Nantes/FedShop
Fichier principal
Vignette du fichier
paper_305.pdf (513.49 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04180506 , version 1 (12-08-2023)

Identifiants

Citer

Minh-Hoang Dang, Julien Aimonier-Davat, Pascal Molli, Olaf Hartig, Hala Skaf-Molli, et al.. FedShop: A Benchmark for Testing the Scalability of SPARQL Federation Engines. ISWC 2023, Nov 2023, Athens, Greece. ⟨10.5281/zenodo.7919872⟩. ⟨hal-04180506⟩
82 Consultations
135 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More