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Relevance Queries for Interval Data

Summary: Defines overlap-based relevance scores for interval data and relevance queries that return the most relevant intersecting intervals. Presents a framework to evaluate these queries on standard interval indices (interval tree, HINT) with real-data experiments showing speedups over baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7322
Venue
SIGMOD
Year
2025
Pagerank
5.093636e-05
Overall Rank
10,776 | 26.07%
DOI
10.1145/3725343

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Authors

BibTeX Citation

@inproceedings{bouros_sigmod25,
        title = {{Relevance Queries for Interval Data}},
        author = {Bouros, Panagiotis and Mamoulis, Nikos},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3725343},
        url = {https://dl.acm.org/doi/10.1145/3725343},
        year = {2025}
}

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Rank Citing Paper Year Venue Pagerank
10,244 FIRAS: A Framework for Interval Range Search and Sampling 2026 SIGMOD 5.093636e-05
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