Graph-Aware, Workload-Adaptive SPARQL Query Caching
Summary: Graph-aware, workload-adaptive SPARQL caching for large RDF graphs; labeling of query graphs enables isomorphic matching and a DP planner for optimal joins. Modular cache uses workload signals to prefetch hot queries, delivering up to 100x speedups on datasets. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nikolaos Papailiou (National Technical University of Athens)
- 2. Dimitrios Tsoumakos (Ionian University)
- 3. Panagiotis Karras (Skolkovo Institute of Science and Technology)
- 4. Nectarios Koziris (National Technical University of Athens)
BibTeX Citation
@inproceedings{papailiou_sigmod15,
title = {{Graph-Aware, Workload-Adaptive SPARQL Query Caching}},
author = {Papailiou, Nikolaos and Tsoumakos, Dimitrios and Karras, Panagiotis and Koziris, Nectarios},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2723714},
url = {https://dl.acm.org/doi/10.1145/2723372.2723714},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,382 | GC: A Graph Caching System for Subgraph/Supergraph Queries | 2018 | VLDB | 5.4373849e-05 |
| 8,527 | View Selection over Knowledge Graphs in Triple Stores | 2021 | VLDB | 5.4119882e-05 |
| 10,549 | Love-at-First-Sight: First Answers Without the Awkward Silence in Big Knowledge Graphs | 2026 | VLDB | 5.093636e-05 |
| 11,852 | An Efficient Index for RDF Query Containment | 2019 | SIGMOD | 5.093636e-05 |
Previous
Page 1 / 1
Next
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.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,979 | Scalable Join Processing on Very Large RDF Graphs | 2009 | SIGMOD |
| 2 | 530 | An Analytical Study of Large SPARQL Query Logs | 2018 | VLDB |
| 3 | 6,111 | Scaling Queries over Big RDF Graphs with Semantic Hash Partitioning | 2013 | VLDB |
| 4 | 1,387 | A Distributed Graph Engine for Web Scale RDF Data | 2013 | VLDB |
| 5 | 859 | An Efficient SQL-based RDF Querying Scheme | 2005 | VLDB |
| 6 | 7,798 | A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data | 2017 | VLDB |
| 7 | 4,982 | Workload Matters: Why RDF Databases Need a New Design | 2014 | VLDB |
| 8 | 12,130 | Evaluating SPARQL Queries on Massive RDF Datasets | 2015 | VLDB |
| 9 | 1,774 | gStore: Answering SPARQL Queries via Subgraph Matching | 2011 | VLDB |
| 10 | 500 | Scalable SPARQL Querying of Large RDF Graphs | 2011 | VLDB |