SuccinctEdge : a succinct RDF store for edge computing - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Proceedings of the VLDB Endowment (PVLDB) Année : 2020

SuccinctEdge : a succinct RDF store for edge computing

Résumé

As edge computing is becoming a new platform for rich applications and services, it becomes more and more important to design adapted data management systems for this environment. In this paper, we present a prototype corresponding to a compact, in-memory RDF store that can answer SPARQL queries requiring reasoning services without necessitating any decompression. This demonstration highlights a design based on succinct data structures, shows some implementation details and provides encouraging performance measures over a set of real-world and synthetic data and query sets.

Dates et versions

hal-04468046 , version 1 (20-02-2024)

Identifiants

Citer

Weiqin Xu, Olivier Curé, Philippe Calvez. SuccinctEdge : a succinct RDF store for edge computing. Proceedings of the VLDB Endowment (PVLDB), 2020, 13 (12), pp.2857-2860. ⟨10.14778/3415478.3415493⟩. ⟨hal-04468046⟩
17 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More