Collaborative Knowledge Classification and Management Agent

• Main Authors: Yun-Ling Lu, 盧芸玲
• Other Authors: Rey-Long Liu
• Format: Others
• Language: zh-TW
• Published: 2002
• Online Access: http://ndltd.ncl.edu.tw/handle/83819782188363257700

碩士 === 中華大學 === 資訊工程學系碩士班 === 90 === Knowledge management (KM) has become a critical activity in business administration. However, there exists a significant gap between KM and information technology: automatic classification of dynamic business knowledge, since business knowledge is often dynamic and accumulative. This thesis aims to explore and reduce the gap so that information technology may really assist businesses in managing knowledge. An agent-based collaborative knowledge classification and management model CKCMA is proposed. The agents collaborate with each other in order to closely link people to knowledge, and vice versa. They negotiate with each other to classify input knowledge documents and requests, and accordingly identify which agent should be in charge of the related KM activities, including knowledge elicitation, accumulation, distribution, and sharing. Experiments were designed to empirically evaluate CKCMA’s multiagent knowledge classification technique. In the experiments, the feasibility and contributions of CKCMA are verified.