Facilitating maintenance of knowledge management systems with a software tool

Abstract

With the dramatic increase of knowledge management systems in commercial applications, many knowledge management systems are now becoming legacy systems. These knowledge management systems contain knowledge depositories that are often large and unstructured. Therefore maintaining knowledge management systems is a very difficult task. This study introduces a Hopfield neural net-based software tool, which can be used for facilitating maintenance of a knowledge depository in knowledge management systems. This neural net software will automatically categorise knowledge pieces of a knowledge depository according to its lexical similarity. Clusters will be made as an output of this neural net software. Having clusters out of a knowledge depository will facilitate the knowledge management system maintainer since categorised knowledge pieces are easier to understand than disordered knowledge pieces of a knowledge management system.