Database-Inspired Search
Summary: Proposes a database-inspired search language unifying semi-structured data, documents, and metadata under a declarative framework. Shows that search and semantic Web trends justify DB-style integration and execution for enterprise-scale information. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. David Konopnicki
- 2. Oded Shmueli
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