Knowledge engineering¶
FEIGENBAUM, E. A. (1984). Knowledge engineering: The applied side of artificial intelligence. Annals of the New York Academy of Sciences, 426(1), 91-107.
Cited by¶
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Primes¶
- Formalization
- Knowledge engineering (non-obvious): Encoding a domain expert's tacit know-how into an ontology, ruleset, or schema a machine can apply — the central project of expert systems and, more recently, knowledge graphs, where the bottleneck has long been precisely that experts cannot fully state what they know.
This sourceFoundational knowledge-engineering account of encoding a domain expert's tacit know-how into machine-applicable rulesets/ontologies, naming the knowledge-acquisition bottleneck: experts cannot fully state what they know.
- Knowledge engineering (non-obvious): Encoding a domain expert's tacit know-how into an ontology, ruleset, or schema a machine can apply — the central project of expert systems and, more recently, knowledge graphs, where the bottleneck has long been precisely that experts cannot fully state what they know.
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