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 work addresses the use of computational linguistic analysis techniques for conceptual graphs learning from unstructured texts. A technique including both content mining and i...
Nowadays we enter the Web 2.0 era where people’s participation is a key principle. In this context, collective annotations enable to share and discuss readers’ feedback with r...
Guillaume Cabanac, Max Chevalier, Claude Chrisment...
In this paper we present a prototype system to enrich audiovisual contents with annotations, which exploits existing technologies for automatic extraction of metadata (such as OCR...
Giuseppe Amato, Paolo Bolettieri, Franca Debole, F...
Model is a kind of codified knowledge that has been verified in solving problems. Solving a complex problem usually needs a set of models. Using components, the composition of a s...