A week ago, the 16th of May, I finished my master thesis about an implementation of a graph-based knowledge browser for a content management system (CMS). Now, I spend time in relaxing and organising my next steps to the future. The current IT market is asking for graduates and I remark it every time taking a look to my email account, if you know what I mean .
The time writing my master thesis was absolutely great. It was extremely work intensive, but great! I got a lot of support from my family and girlfriend, and from my friends too. Thank you at this point. Now, I know what it means to work from 7.30 to 23.00 over several months every day including the weekend. I experienced that working over 100 hours a week isn’t really efficient. You work not at 100% and your personal efficiency rate decreases every additional day. It’s not recommendable to work many over a long period of time. It does not only affect your work, if you know what I mean.
Anyhow, my thesis’s topic seems to be very attractive. During my research I got lots of requests from all over the world. A Professor from the St. Louis University in America was interested in using my tool for further research on Natural Language Processing (NLP). Other knowledge workers wanted to share experience. The results of my research and the potential of an interactive knowledge map for knowledge transfer leads me to possible future works. I just got some recommendations searching for venture capitalist to innovate my invention. We’ll see. It’s not the only project on my fingertips.
The success of knowledge transfer is crucial in the area of knowledge management. Not only companies in outsourcing-relations have the need of successful knowledge transfer. Organisations have the need of successful knowledge transfer too in order to create market advantages. This thesis introduces a graph-based knowledge browser for a CMS to support the topic of knowledge transfer by providing ?shared material? for generating knowledge and providing easy access to knowledge by visualising knowledge as associative networks. Knowledge is presented as graph or radial layout in hyperspace. Web 2.0 technologies like AJAX and SVG are used for the implementation.