PIX: Exact and Approximate Phrase Matching in XML

Summary: PIX enables exact and proximity phrase matching in XML, with ignorable markup and HTML explanations. Offline inverted indices and stack-based evaluation enable efficient matching; GALAX XQuery via XPath for context, with ranking and per-markup weights. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 3543
Venue: SIGMOD
Year: 2003
Pagerank: -
Overall Rank: 13,922 | 4.49%
DOI: 10.1145/872757.872852

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Authors

1. Sihem Amer-Yahia (AT&T)
2. Divesh Srivastava (AT&T)
3. Mary Fernández (AT&T)
4. Yu Xu (University of California San Diego)

BibTeX Citation

@inproceedings{ameryahia_sigmod03,
        title = {{PIX: Exact and Approximate Phrase Matching in XML}},
        author = {Amer-Yahia, Sihem and Srivastava, Divesh and Fernández, Mary and Xu, Yu},
        series = {{SIGMOD} '03},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/872757.872852},
        url = {https://dl.acm.org/doi/10.1145/872757.872852},
        year = {2003}
}

Incoming Citations (Sorted by Pagerank)

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Rank	Citing Paper	Year	Venue	Pagerank

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank

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