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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)

Paper ID
4996
Venue
SIGMOD
Year
2015
Pagerank
6.1100964e-05
Overall Rank
5,716 | 60.79%
DOI
10.1145/2723372.2723714

Incoming Non-self Citations Over Time

Authors

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}
}

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