Whilst it is a common task in systems integration to have to transform between di erent semantic data models, such inter-model transformations are often speci ed in an ad hoc manne...
When we model a phenomenon we apply a perspective on the phenomenon. The perspective decides which properties we include in the model. It also decides how we conceive a phenomenon ...
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...
In this paper, we discuss challenges and provide solutions for capturing and maintaining accurate models of user profiles using semantic web technologies, by aggregating and shari...
This work presents a classification of weak models of distributed computing. We focus on deterministic distributed algorithms, and we study models of computing that are weaker ve...