Problems with large monolithical ontologies in terms of reusability, scalability and maintenance have lead to an increasing interest in modularization techniques for ontologies. Cu...
Mathieu d'Aquin, Anne Schlicht, Heiner Stuckenschm...
Machine learning research often has a large experimental component. While the experimental methodology employed in machine learning has improved much over the years, repeatability ...
The growing need for personalization and device independence calls for effective ways of engineering adaptive Web applications. This requires formats, languages and structured pro...
Abstract. Recently, brain models attempt to support cognitive abilities of artificial organisms. Incremental approaches are often employed to support modelling process. The presen...
Nowadays, workflow research has shifted from fundamentals of workflow modelling and enactment towards improvement of the workflow modelling lifecycle and integration of workflow en...