- 2074 Magh · 4 marks
Knowledge management vs expert systems
Short answer
Knowledge management is an organizational process of creating, capturing, storing, sharing and applying tacit and explicit knowledge, with people central. An expert system is a narrow-domain program with codified rules, facts and an inference engine that gives expert-level advice. An expert system can be a tool within KM.
Differentiate between knowledge management (KM) and knowledge based expert systems.
Knowledge Management (KM) is the organised process of creating, capturing, storing, sharing and applying the knowledge (explicit and tacit) of people across an organization. A knowledge-based expert system (ES) is a program that stores an expert's knowledge as rules and facts in a specific domain and uses an inference engine to give advice or solve problems like a human expert.
| Basis | Knowledge Management | Expert System |
|---|---|---|
| Aim | Share and reuse organizational knowledge | Give expert-level advice/decisions |
| Scope | Broad, whole organization | Narrow, one domain |
| Knowledge type | Tacit and explicit, documents, experience | Codified rules and facts |
| Human role | People remain central; collaboration | Replaces or assists the expert |
| Technology | Repositories, portals, wikis, search, communities | Knowledge base, inference engine, rule-based AI |
| Output | Access to knowledge and experts | A conclusion or recommendation |
| Reasoning | None by system | Automatic inference |
| Example | Company wiki, lessons-learned database | MYCIN medical diagnosis, loan advisor |
An expert system can be one tool within a KM system.
✓ Answer checked by Claude Opus 5.5 (high effort)
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