Approximate Query Translation Across Heterogeneous Information Sources
Summary: Framework for approximate Boolean query translation across heterogeneous sources, with a closeness metric blending precision and recall. Rule-based semantic units encode mappings; queries rewritten into units yield optimal translations under practical assumptions, demonstrated by a case study. (summarized by gpt-5-nano on Feb 09 2026)
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