We describe an approach to create a synthetic workload for large scale extensional query answering experiments. The workload comprises multiple interrelated domain ontologies, data...
The ability to distinguish between objects is the fundamental to learning and intelligent behavior in general. The difference between two things is the information we seek; the pr...
Bostjan Brumen, Izidor Golob, Hannu Jaakkola, Tatj...
A main problem of data integration is the treatment of conflicts caused by different modeling of real-world entities, different data models or simply by different representations ...
Abstract. We present a method for mapping security levels among the components of a distributed system where data in the local sources are represented in XML. Distributed data is i...
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...