Modularity is a key requirement for large ontologies in order to achieve re-use, maintainability, and evolution. Mechanisms for ‘normalisation’ to achieve analogous aims are s...
We propose a new family of probabilistic description logics (DLs) that, in contrast to most existing approaches, are derived in a principled way from Halpern’s probabilistic fi...
This paper focuses on the issue of how generalizations of continuous and leftcontinuous t-norms over linearly ordered sets should be from a logical point of view. Taking into acco...
Abstract. This paper focuses on the use and interpretation of approximate databases where both rough sets and indiscernibility partitions are generalized and replaced by approximat...
Multidimensional image retrieval (MIR) views an image as a multidimensional object, where each dimension is a channel for retrieval. MIR has the potential of putting at work toget...
Carlo Meghini, Fabrizio Sebastiani, Umberto Stracc...