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
- 2. Jiacheng Yang
- 3. Haixun Wang
- 4. Bin Shao
- 5. Zhongyuan Wang
Incoming Citations (Sorted by Pagerank)
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,199 | gStore: Answering SPARQL Queries via Subgraph Matching | 2011 | VLDB | 9.3082437e-05 |
| 2,561 | TripleBit: a Fast and Compact System for Large Scale RDF Data | 2013 | VLDB | 8.5415562e-05 |
| 11,940 | Evaluating SPARQL Queries on Massive RDF Datasets | 2015 | VLDB | 4.1905499e-05 |
| 1,212 | RDF-3X: a RISC-style Engine for RDF | 2008 | VLDB | 0.00013255692 |
| 5,778 | Graph-Aware, Workload-Adaptive SPARQL Query Caching | 2015 | SIGMOD | 5.3274776e-05 |
| 6,396 | Scaling Queries over Big RDF Graphs with Semantic Hash Partitioning | 2013 | VLDB | 5.0752439e-05 |
| 2,812 | TriAD: A Distributed Shared-Nothing RDF Engine based on Asynchronous Message Passing | 2014 | SIGMOD | 8.0825994e-05 |
| 7,824 | A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data | 2017 | VLDB | 4.6390831e-05 |
| 587 | Scalable SPARQL Querying of Large RDF Graphs | 2011 | VLDB | 0.00019623493 |
| 558 | Trinity: A Distributed Graph Engine on a Memory Cloud | 2013 | SIGMOD | 0.00020158056 |