Abstract
Knowledge management (KM) is significant but still difficult for both researchers and practicers. Supported by technologies of case-based reasoning (CBR), a knowledge management consultation system (KMCS) was proposed and designed for consultation firms. The concept and components of KMCS based on CBR were analyzed. Then key technologies for realizing the system, such as case representation, retrieval, storage, and learning were further investigated. The proposed system and corresponding key technologies will help enterprises build their KMCS easily, facilitate knowledge reuse and innovation, and improve the effectiveness of KM.
| Original language | English |
|---|---|
| Pages (from-to) | 990-995 |
| Number of pages | 6 |
| Journal | Qinghua Daxue Xuebao/Journal of Tsinghua University |
| Volume | 46 |
| Issue number | SUPPL. |
| State | Published - Jun 2006 |
Keywords
- Case knowledge representation
- Case retrieval
- Case-based reasoning
- Knowledge management consultation system
- Similarity match
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