In the paper practical issues concerning the use of UML as a knowledge representation method for rules are discussed. A proposal of an UML-based representation for the XTT structur...
Eliciting and analyzing requirements within knowledge systems, which fundamentally differ so far from technology supported systems represent particular challenges. African rural c...
Heike Winschiers-Theophilus, Nicola J. Bidwell, Sh...
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
We developed user models of knowledge exploration in a social tagging system to test the expertise rankings generated by a link-structure method and a semantic-structure method. Th...
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...