An intelligent knowledge management model for construction and reuse of automobile manufacturing intellectual properties

Abstract

More and more organizations have recognized the importance of efficient enterprise knowledge construction, extraction and management. To effectively acquire domain knowledge from experts, a knowledge centre that can automatically manage the huge amounts of documents and knowledge is required. In this paper, a knowledge management (KM) model as well as a platform consisting of document keyword extraction (DKE) module, document classification (DC) module, authority reasoning (AR) module and validation process decision (VPD) module are developed for intelligent and automatic management over the manufacturing intellectual properties (IPs) of the automobile industry. In this industry, sophisticated entities are involved in knowledge construction and reuse under the collaborative design environment. A case study is provided to evaluate feasibility and performance of the intelligent knowledge management model. With the training and learning stages, the accuracy and precision of the KM decision modules can be significantly improved. Therefore, in addition to the automobile IP management, it is proven that with the learning mechanism, the proposed intelligent KM approach can be applied to different applications for organizations to efficiently construct and manage domain knowledge. © Springer-Verlag London Limited 2004.