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Evaluating SPARQL Queries on Massive RDF Datasets

Summary: AdHash is a distributed RDF system that uses lightweight hash partitioning to minimize startup cost and parallelize subject-based joins with no inter-node communication. It dynamically adapts to the workload by redistributing and replicating hot data, drastically reducing future communication and enabling subsecond queries on billion-scale RDF data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11251
Venue
VLDB
Year
2015
Pagerank
5.0723324e-05
Overall Rank
12,183 | 16.70%
DOI
10.14778/2824032.2824083

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BibTeX Citation

@article{harbi_vldb15,
        title = {{Evaluating SPARQL Queries on Massive RDF Datasets}},
        author = {Harbi, Razen and Abdelaziz, Ibrahim and Kalnis, Panos and Mamoulis, Nikos},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {12},
        pages = {1848},
        doi = {10.14778/2824032.2824083},
        url = {https://doi.org/10.14778/2824032.2824083},
        year = {2015}
}

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