Rule Base Management Using Meta Knowledge
Summary: RBM constructs a meta-knowledge layer by extracting semantic concepts from rule structures and building a semantic network over the rule base. It partitions rules into concept-aligned rule sets via keyword matching against a dictionary, enabling centralized management of knowledge. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Mehdi T Harandi
- 2. Thierry Schang
- 3. Seth Cohen
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