Mitchell et al. (2008) demonstrated that corpus-extracted models of semantic knowledge can predict neural activation patterns recorded using fMRI. This could be a very powerful te...
In certain critical cases the data flow between business departments in banking organizations has to respect security policies known as Chinese Wall or Bell–La Padula. We show t...
Christoph Brandt, Jens Otten, Christoph Kreitz, Wo...
The use of semantic knowledge in its various forms has become an important aspect in managing data in database and information systems. In the form of integrity constraints, it ha...
Probabilistic latent topic models have recently enjoyed much success in extracting and analyzing latent topics in text in an unsupervised way. One common deficiency of existing to...
Schemas, and more generally metadata specifying structural and semantic constraints, are invaluable in data management. They facilitate conceptual design and enable checking of da...
Peter M. Fischer, Kyumars Sheykh Esmaili, Ren&eacu...