Finding semantically related words is a first step in the direction of automatic ontology building. Guided by the view that similar words occur in similar contexts, we looked at t...
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...
In a user centered design process, we investigate what context information may be used to augment digital photos with additional meta information. We describe our initial findings...
Paul Holleis, Matthias Kranz, Marion Gall, Albrech...
Abstract. Morphisms constitute a general tool for modelling complex relationships between mathematical objects in a disciplined fashion. In Formal Concept Analysis (FCA), morphisms...
We present the design and implementation of a working prototype system that enables self-configuration in mobile ad hoc networks (MANETs) by exploiting context awareness and cross-...