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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 1    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 1,January 2012
A Framework for Knowledge Discovery, Knowledge Use and Knowledge Management
Full Text(PDF, )  PP.81-86  
B. Uppalaiah, Dr. N. Subhash Chandra, R. V. Gandhi, Prof. G. Charles Babu, N. Vamsi Krishna
knowledge-based systems, multi-agent system, knowledge query and manipulation language, linguistic variable.
A framework for knowledge discovery, knowledge use, and knowledge management is presented in this article 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 article 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. The article also includes a sample KQML query block (along with membership function used by the knowledge management agent), result of the query, and structure of database files for a co-operative dairy. The approach provides advantages like effectiveness, explanation, reasoning, multimedia, and user-friendly interface in accessing multiple databases for an application.
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