A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
This paper defines a new, context-driven programming model for pervasive spaces. Existing models are prone to conflict, as it is hard to predict the outcome of interleaved actions ...
—Current architectures for systems integration provide means for forming agile business processes by manually or dynamically configuring the components. However, a major challeng...
An emerging trend in Web computing aims at collecting and integrating distributed data. For instance, community driven efforts recently have build ontological repositories made of...
Domain-specific modelling languages provide modelling means tailored to a particular domain. In Model-driven Engineering, it is common practice to specify such languages by modelli...