KMS with hierarchical administrative architecture: A knowledge administrator perspective

摘要

A Knowledge Management System (KMS) refers to a system for managing knowledge in organizations, supporting creation, capture, storage and dissemination of information. KMS is viewed as an essential tool to extract tacit knowledge from data, convert it to explicit knowledge and preserve the same for future utilization. The system involves creation of a knowledge repository using the extracted knowledge and disseminating it in the form of query response systems. In this work, we have proposed the architecture for an administrator-centric KMS which revolves around the concept of Knowledge Administrator (KA) with a Knowledge Worker (KW) standard. KA is responsible for maintenance as well as security and efficiency of the framework which are essential for a reliable KMS. In this system, the Knowledge Worker (KW) structure is hierarchical which provides scope for building a knowledge repository which is often encountered to be critical in some of its applications. The Knowledge Base (KB) is built on tag extraction based on inverted indexing. The system was a learning automation which used the available client feedback in response to the query answered from the knowledge base. The knowledge repository interacted with data using a framework created based on inverted indexing. A salient feature of the architecture is the notion of Probabilistic Optimum Performance (POP) factor used for rating KWs. The rating which is determined by past performance and client feedback acts as a driving force for a more comprehensive KB as its interaction with its environment increases.