Complexity of Reasoning over Temporal Data Models
We investigate the computational complexity of reasoning over temporal extensions of conceptual data models. The temporal conceptual models we...
Using Preaggregation to Speed Up Scaling Operations on Massive Spatio-temporal Data
A frequent operation in e-Science is downscaling of some data item or part thereof, such as obtaining a 1...
Situation Prediction Nets
Situation awareness in large-scale control systems such as road traffic management aims to predict critical situations on the basis...
Model-Driven Data Migration
The automatic generation of components from abstract models greatly facilitates information systems evolution, as changes to the model are...
Granularity in Conceptual Modelling: Application to Metamodels
The granularity of conceptual models depends at least in part on the granularity of their underpinning metamodel. Here we...
Meronymy-Based Aggregation of Activities in Business Process Models
As business process management is increasingly applied in practice, more companies document their operations in the form of process...
Feature Assembly: A New Feature Modeling Technique
In this paper we present a new feature modeling technique. This work was motivated by the fact that although...
Leveraging Business Process Models for ETL Design
As Business Intelligence evolves from off-line strategic decision making to on-line operational decision making, the design of the back-end...
A Method for Filtering Large Conceptual Schemas
We focus on the problem of filtering a fragment of the knowledge contained in a large conceptual schema. The...
Adaptation in Open Systems: Giving Interaction Its Rightful Place
We address the challenge of adaptation in open systems. Open systems are characterized by interactions among autonomous and heterogeneous...
