Approximate Query Translation Across Heterogeneous Information Sources
Summary: Framework for approximate Boolean-query translation across heterogeneous sources using a customizable precision/recall closeness metric. Rule-based rewriting over atomic semantic units captures conjunct/disjunct dependencies and yields optimal translations under practical assumptions. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Chen-Chuan K. Chang (Stanford University)
- 2. Hector Garcia-Molina (Stanford University)
BibTeX Citation
@article{chang_vldb00,
title = {{Approximate Query Translation Across Heterogeneous Information Sources}},
author = {Chang, Chen-Chuan K. and Garcia-Molina, Hector},
journal = {PVLDB},
series = {{VLDB} '00},
pages = {566--577},
year = {2000}
}
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