A Distributed Graph Engine for Web Scale RDF Data
Summary: Trinity.RDF, a distributed, in-memory graph engine for web-scale RDF data, stores RDF natively as graphs rather than as triples or bitmap matrices. Delivers orders-of-magnitude SPARQL speedups over state-of-the-art systems and supports general graph operations (random walks, reachability, community discovery) on RDF graphs, validated on real web-scale data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kai Zeng (University of California Los Angeles)
- 2. Jiacheng Yang (Columbia University)
- 3. Haixun Wang (Microsoft)
- 4. Bin Shao (Microsoft)
- 5. Zhongyuan Wang (Microsoft; Renmin University of China)
BibTeX Citation
@article{zeng_vldb13,
title = {{A Distributed Graph Engine for Web Scale RDF Data}},
author = {Zeng, Kai and Yang, Jiacheng and Wang, Haixun and Shao, Bin and Wang, Zhongyuan},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {4},
pages = {265--276},
doi = {10.14778/2535570.2488333},
url = {https://doi.org/10.14778/2535570.2488333},
year = {2013}
}
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|---|---|---|---|---|
| 1 | 1,774 | gStore: Answering SPARQL Queries via Subgraph Matching | 2011 | VLDB |
| 2 | 2,053 | TripleBit: a Fast and Compact System for Large Scale RDF Data | 2013 | VLDB |
| 3 | 12,130 | Evaluating SPARQL Queries on Massive RDF Datasets | 2015 | VLDB |
| 4 | 944 | RDF-3X: a RISC-style Engine for RDF | 2008 | VLDB |
| 5 | 5,716 | Graph-Aware, Workload-Adaptive SPARQL Query Caching | 2015 | SIGMOD |
| 6 | 6,111 | Scaling Queries over Big RDF Graphs with Semantic Hash Partitioning | 2013 | VLDB |
| 7 | 2,287 | TriAD: A Distributed Shared-Nothing RDF Engine based on Asynchronous Message Passing | 2014 | SIGMOD |
| 8 | 7,798 | A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data | 2017 | VLDB |
| 9 | 500 | Scalable SPARQL Querying of Large RDF Graphs | 2011 | VLDB |
| 10 | 436 | Trinity: A Distributed Graph Engine on a Memory Cloud | 2013 | SIGMOD |