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XRANK: Ranked Keyword Search over XML Documents

Summary: XRANK enables ranked keyword search over hierarchical XML by ranking at the element level rather than whole documents. It handles XML-specific proximity and nesting, delivering space and time gains while generalizing HTML search to mixed HTML/XML corpora. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3479
Venue
SIGMOD
Year
2003
Pagerank
0.00037048607
Overall Rank
77 | 99.48%
DOI
10.1145/872757.872762

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{guo_sigmod03,
        title = {{XRANK: Ranked Keyword Search over XML Documents}},
        author = {Guo, Lin and Shao, Feng and Botev, Chavdar and Shanmugasundaram, Jayavel},
        series = {{SIGMOD} '03},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/872757.872762},
        url = {https://dl.acm.org/doi/10.1145/872757.872762},
        year = {2003}
}

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