Knowledge Bases and Database Engineering
Summary: Outlines design methodologies for knowledge systems and their DBMS integration, highlighting gaps with data engineering. Evaluates model choices (object-oriented, functional, logic) and proposes KBMS-DBMS binding for scalable knowledge storage. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. D. Stott Parker
- 2. Stefano Ceri
- 3. Robert Demolombe
- 4. Koichi Furukawa
- 5. Masanobu Matsuo
- 6. Gio Wiederhold
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