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K-Relevance: A Spectrum of Relevance for Data Sources Impacting a Query

Summary: Introduces k-relevance, spectrum of data-source relevance for queries in autonomous sources. Presents algorithms to identify k-relevant sources for relational queries, analyzing efficiency and impact of constraints and materialized views on computation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3910
Venue
SIGMOD
Year
2007
Pagerank
5.093636e-05
Overall Rank
12,630 | 13.35%
DOI
10.1145/1247480.1247500

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BibTeX Citation

@inproceedings{huang_sigmod07,
        title = {{K-Relevance: A Spectrum of Relevance for Data Sources Impacting a Query}},
        author = {Huang, Jiansheng and Naughton, Jeffrey F.},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247500},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247500},
        year = {2007}
}

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