We describe an approach to verifying bit-level pipelined machine models using a combination of deductive reasoning and decision procedures. While theorem proving systems such as AC...
The need for an automatic inference process able to deal with information coming from unreliable sources is becoming a relevant issue both on corporate networks and on the open Web...
In this paper we address the issue of structural multimedia similarity, which is based on the relations between the individual objects that comprise a multimedia document. We prop...
This paper introduces the Ariadne Corpus Management System. First, the underlying data model is presented which enables users to represent and process heterogeneous data sets with...
This poster describes a framework that automatically generates learning support scaffolds to guide task-based learning. The aim is to combine the exploratory learning principles p...