We introduce an approach to the automatic acquisition of new concepts fi'om natural language texts which is tightly integrated with the underlying text understanding process....
We introduce and discuss the application of statistical physics concepts in the context of on-line machine learning processes. The consideration of typical properties of very large...
Workflow evolution is a collective term for concepts that deal with changes of workflow models. Adapted workflow models are deployed on a workflow engine as new model version. That...
It is common practice to build complex systems from disparate sub-systems. Model composability is concerned with techniques for developing a whole model of a system from the model...
Feature modeling, a conceptual domain modeling technique used mainly in domain engineering, proved as useful for representing configurability of concepts by dealing explicitly wit...