This poster describes a framework that automatically generates learning support scaffolds to guide task-based learning. The aim is to combine the exploratory learning principles p...
Active shape models are a powerful and widely used tool to interpret complex image data. By building models of shape variation they enable search algorithms to use a priori knowle...
Although feature modelling is a frequently used approach to the task of modelling commonality and variability within product lines, there is currently no standard modelling notati...
T. John Brown, Rachel Gawley, Ivor T. A. Spence, P...
The central idea in reference modeling is the reutilization of the business knowledge contained in reference models for the construction of specific information models. The orient...
Modeling data warehouses is a complex task focusing, very often, into internal structures and implementation issues. In this paper we argue that, in order to accurately reflect the...
Nectaria Tryfona, Frank Busborg, Jens G. Borch Chr...