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)
Incoming Non-self Citations Over Time
Authors
- 1. Surajit Chaudhuri (Hewlett Packard Enterprise)
- 2. Umeshwar Dayal (Hewlett Packard Enterprise)
- 3. Tak W. Yan (Hewlett Packard Enterprise; Stanford University)
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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