Inferray: fast in-memory RDF inference
Summary: Inferray delivers fast in-memory RDFS, ρ_df, and RDFS-Plus inference via vertically partitioned RDF storage, sequential sort-merge joins, optimized 64-bit integer sorting, and dedicated closure storage. It substantially outperforms prior systems, especially for transitive closure. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Julien Subercaze (Jean Monnet University; Laboratoire Hubert Curien; National Centre for Scientific Research)
- 2. Christophe Gravier (Jean Monnet University; Laboratoire Hubert Curien; National Centre for Scientific Research)
- 3. Jules Chevalier (Jean Monnet University; Laboratoire Hubert Curien; National Centre for Scientific Research)
- 4. Frederique Laforest (Jean Monnet University; Laboratoire Hubert Curien; National Centre for Scientific Research)
BibTeX Citation
@article{subercaze_vldb16,
title = {{Inferray: fast in-memory RDF inference}},
author = {Subercaze, Julien and Gravier, Christophe and Chevalier, Jules and Laforest, Frederique},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {6},
doi = {10.14778/2904121.2904123},
url = {https://doi.org/10.14778/2904121.2904123},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,850 | Materializing Knowledge Bases via Trigger Graphs | 2021 | VLDB | 5.2094004e-05 |
| 11,944 | Stylus: A Strongly-Typed Store for Serving Massive RDF Data | 2018 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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