Facilitating maintenance of knowledge management systems with a software tool
by Ook Lee
International Journal of Advanced Media and Communication (IJAMC), Vol. 1, No. 2, 2006

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.

Online publication date: Mon, 08-May-2006

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Advanced Media and Communication (IJAMC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com