TY - JOUR
T1 - Knowledge management consultation system based on CBR technologies
AU - Wang, Jun
AU - Pan, Xing
AU - Li, Jing
AU - Liu, Lu
PY - 2006/6
Y1 - 2006/6
N2 - 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.
AB - 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.
KW - Case knowledge representation
KW - Case retrieval
KW - Case-based reasoning
KW - Knowledge management consultation system
KW - Similarity match
UR - https://www.scopus.com/pages/publications/33845866663
M3 - 文章
AN - SCOPUS:33845866663
SN - 1000-0054
VL - 46
SP - 990
EP - 995
JO - Qinghua Daxue Xuebao/Journal of Tsinghua University
JF - Qinghua Daxue Xuebao/Journal of Tsinghua University
IS - SUPPL.
ER -