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An Analytical Study of Large SPARQL Query Logs

Summary: Analyses a voluminous, multi-year SPARQL query log corpus from diverse RDF endpoints to reveal real-user syntactic and structural patterns. Introduces graph- and hypergraph-based query shapes, (hyper)tree width, and the 'streak' of sequential seed-query modifications, informing evaluation and optimization. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11824
Venue
VLDB
Year
2018
Pagerank
0.0001709169
Overall Rank
530 | 96.37%
DOI
10.14778/3149193.3149196

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Authors

BibTeX Citation

@article{bonifati_vldb18,
        title = {{An Analytical Study of Large SPARQL Query Logs}},
        author = {Bonifati, Angela and Martens, Wim and Timm, Thomas},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {2},
        pages = {149--161},
        doi = {10.14778/3149193.3149196},
        url = {https://doi.org/10.14778/3149193.3149196},
        year = {2018}
}

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