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Join Queries with External Text Sources: Execution and Optimization Techniques

Summary: Proposes probing-based joins for text-structured data in loosely coupled DB/text systems, targeting text-join queries. Presents a cost model, extended plan space, and an optimization algorithm; experiments validate effectiveness and applicability. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2880
Venue
SIGMOD
Year
1995
Pagerank
8.8737737e-05
Overall Rank
2,244 | 84.61%
DOI
10.1145/223784.223856

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chaudhuri_sigmod95,
        title = {{Join Queries with External Text Sources: Execution and Optimization Techniques}},
        author = {Chaudhuri, Surajit and Dayal, Umeshwar and Yan, Tak W.},
        series = {{SIGMOD} '95},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/223784.223856},
        url = {https://dl.acm.org/doi/10.1145/223784.223856},
        year = {1995}
}

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