Large-scale distributed data management with P2P systems requires the existence of similarity operators for queries as we cannot assume that all users will agree on exactly the sa...
Most knowledge discovery processes are biased since some part of the knowledge structure must be given before extraction. We propose a framework that avoids this bias by supporting...
Various cognitive and computational models have addressed the use of previous experience to understand a new domain. In particular, research in case-based reasoning has explored t...
Personas are useful for obtaining an empirically grounded understanding of a secure system's user population, its contexts of use, and possible vulnerabilities and threats end...
Automatic service composition is an active research area in the field of service computing. This paper presents a distributed approach to automatically discover a composition of s...