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Workload Matters: Why RDF Databases Need a New Design

Summary: Workload-aware, adaptive RDF DB design to handle diverse SPARQL workloads. Re-evaluates RDF physical design criteria and tackles new challenges from dynamic workloads, arguing that existing systems are workload-oblivious and fail to deliver consistent performance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10960
Venue
VLDB
Year
2014
Pagerank
5.9675136e-05
Overall Rank
4,729 | 67.11%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
8,577 RBench: Application-Specific RDF Benchmarking 2015 SIGMOD 4.4926769e-05
8,625 Generating Flexible Workloads for Graph Databases 2016 VLDB 4.4830029e-05
11,738 Stylus: A Strongly-Typed Store for Serving Massive RDF Data 2018 VLDB 4.1945683e-05
11,932 Evaluating SPARQL Queries on Massive RDF Datasets 2015 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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