A personnel centric knowledge management system

Abstract

A Knowledge Management System (KMS) is designed to serve as an effective tool for the proper extraction, utilization and dissemination of knowledge. Traditional KMS models incur cost overhead on the extraction of tacit knowledge and conversion to explicit knowledge. The proposed model in this paper takes the concept of mining the tacit knowledge and using it in the KMS instead of following conventional KMS norms. Through interactions and socialization of the personnel participating in the system, the tacit knowledge is extracted, converted to explicit knowledge and preserved in the Knowledge Management System through proper maintenance of knowledge repository. Our model is based on the technology that encourages active participation and sharing of tacit knowledge through interactions of individuals in the knowledge environment. The model builds a database of queries based on user feedback and the database is enhanced and maintained through creation of tags that makes the KMS dynamic and easily maintainable. © 2009 Springer Berlin Heidelberg.