Data Management

A Framework for Knowledge Discovery, Knowledge Use and Knowledge Management

Date Added: Jan 2012
Format: PDF

A framework for knowledge discovery, knowledge use, and knowledge management is presented in this paper to provide knowledge-based access of the domain databases using multi-agent systems approach. This framework encompasses five different agents: namely, knowledge management agent, data filter agent, rule induction agent, dynamic analysis agent, and interface agent. This paper suggests an enhancement in the typical Knowledge Query and Manipulation Language (KQML) used to interact recurrently and to share information between multiple agents to achieve their goals by including the notion of linguistic variable and, hence, to support fuzzy decision making.