Strider: An Adaptive, Inference-enabled Distributed RDF Stream Processing Engine
Summary: Strider is a scalable, fault-tolerant distributed RDF stream-processing engine combining real-time analytics with inference. Its adaptive execution targets dynamically changing workloads, demonstrated on IoT-based anomaly detection in industrial water networks. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiangnan Ren (Atos; University Paris-Est Marne-la-Vallée)
- 2. Olivier Curé (University Paris-Est Marne-la-Vallée)
- 3. Li Ke (Atos)
- 4. Jeremy Lhez (University Paris-Est Marne-la-Vallée)
- 5. Badre Belabbess (Atos; University Paris-Est Marne-la-Vallée)
- 6. Tendry Randriamalala (Atos)
- 7. Yufan Zheng (Atos)
- 8. Gabriel Kepeklian (Atos)
BibTeX Citation
@article{ren_vldb17,
title = {{Strider: An Adaptive, Inference-enabled Distributed RDF Stream Processing Engine}},
author = {Ren, Xiangnan and Curé, Olivier and Ke, Li and Lhez, Jeremy and Belabbess, Badre and Randriamalala, Tendry and Zheng, Yufan and Kepeklian, Gabriel},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {12},
pages = {1905--1908},
doi = {10.14778/3137765.3137805},
url = {https://doi.org/10.14778/3137765.3137805},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,721 | Incremental View Maintenance for Property Graph Queries | 2018 | SIGMOD | 5.2318679e-05 |
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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