CONSTRUCT Queries Performance on a Spark-Based Big RDF Triplestore - ANR - Agence nationale de la recherche Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

CONSTRUCT Queries Performance on a Spark-Based Big RDF Triplestore

Résumé

Despite their potential, CONSTRUCT queries have gained little attraction so far among data practitioners, vendors and researchers. In this paper, we first exhibit performance bottlenecks of existing triplestores for supporting CONSTRUCT queries over large knowledge graphs. Then, we describe a novel Spark-based architecture for big triplestores, called TESS, that we have designed and implemented to overcome the above limitations by using parallel computing. TESS ensures ACID properties that are required for a sound and complete implementation of CONSTRUCT-based forward-chaining rules reasoning.
Fichier principal
Vignette du fichier
_ESWC__CONSTRUCT_queries_performance_on_a_Spark_based_Big_RDF_triplestore_final.pdf (411.5 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03979676 , version 1 (08-02-2023)

Identifiants

Citer

Adam Sanchez-Ayte, Fabrice Jouanot, Marie-Christine Rousset. CONSTRUCT Queries Performance on a Spark-Based Big RDF Triplestore. European Semantic Web Conference, May 2022, Hersonissos (Crete), Greece. pp.444-460, ⟨10.1007/978-3-031-06981-9_26⟩. ⟨hal-03979676⟩
6 Consultations
12 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More