SuccinctEdge: A Succinct RDF Store for Edge Computing
Summary: SuccinctEdge is an in-memory, compressed RDF store for edge computing enabling SPARQL with reasoning without decompression. Uses succinct data structures and a prototype evaluated on real and synthetic data, showing strong edge-workload performance. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Weiqin Xu (University Paris-Est Marne-la-Vallée)
- 2. Olivier Curé (University Paris-Est Marne-la-Vallée)
- 3. Philippe Calvez (ENGIE)
BibTeX Citation
@article{xu_vldb20,
title = {{SuccinctEdge: A Succinct RDF Store for Edge Computing}},
author = {Xu, Weiqin and Curé, Olivier and Calvez, Philippe},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {2857--2860},
doi = {10.14778/3415478.3415493},
url = {https://doi.org/10.14778/3415478.3415493},
year = {2020}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 366 | Scalable Semantic Web Data Management Using Vertical Partitioning | 2007 | VLDB | 0.00020039981 |
| 5,322 | ZipG: A Memory-efficient Graph Store for Interactive Queries | 2017 | SIGMOD | 6.2659893e-05 |
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