Scaling Queries over Big RDF Graphs with Semantic Hash Partitioning
Summary: Shape introduces semantic hash partitioning for RDF graphs, grouping and selectively replicating directional triples to exploit access locality. Locality-optimized plans and partitioning reduce cross-node communication, yielding scalable, efficient distributed SPARQL processing. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kisung Lee (Georgia Institute of Technology)
- 2. Ling Liu (Georgia Institute of Technology)
BibTeX Citation
@article{lee_vldb13,
title = {{Scaling Queries over Big RDF Graphs with Semantic Hash Partitioning}},
author = {Lee, Kisung and Liu, Ling},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {14},
pages = {1894--1905},
doi = {10.14778/2556549.2556571},
url = {https://doi.org/10.14778/2556549.2556571},
year = {2013}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,798 | A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data | 2017 | VLDB | 5.542286e-05 |
| 9,118 | Efficient Distributed Hop-Constrained Path Enumeration on Large-Scale Graphs | 2024 | SIGMOD | 5.3201316e-05 |
| 11,958 | Lusail: A System for Querying Linked Data at Scale | 2018 | VLDB | 5.093636e-05 |
| 12,130 | Evaluating SPARQL Queries on Massive RDF Datasets | 2015 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0012250108 |
| 500 | Scalable SPARQL Querying of Large RDF Graphs | 2011 | VLDB | 0.00017413839 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 7,489 | H2 RDF+: An Efficient Data Management System for Big RDF Graphs | 2014 | SIGMOD |
| 2 | 5,716 | Graph-Aware, Workload-Adaptive SPARQL Query Caching | 2015 | SIGMOD |
| 3 | 7,777 | S2RDF: RDF Querying with SPARQL on Spark | 2016 | VLDB |
| 4 | 1,979 | Scalable Join Processing on Very Large RDF Graphs | 2009 | SIGMOD |
| 5 | 1,387 | A Distributed Graph Engine for Web Scale RDF Data | 2013 | VLDB |
| 6 | 1,803 | Towards Effective Partition Management for Large Graphs | 2012 | SIGMOD |
| 7 | 7,798 | A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data | 2017 | VLDB |
| 8 | 366 | Scalable Semantic Web Data Management Using Vertical Partitioning | 2007 | VLDB |
| 9 | 12,130 | Evaluating SPARQL Queries on Massive RDF Datasets | 2015 | VLDB |
| 10 | 500 | Scalable SPARQL Querying of Large RDF Graphs | 2011 | VLDB |