Ontology-driven knowledge discovery

Barbara Furletti
The problem of Knowledge Discovery has always attracted many researchers and continues to be of great relevance to the computer science community in the branch of learning. This thesis aims to contribute to this topic, getting hints from the Ontology and Data Mining environments. We investigate a method for extracting new implicit knowledge directly from an ontology by using an inductive/deductive approach. By giving a sort of Bayesian interpretation to relationships that already exist in...