Roberto Confalonieri

A Roadmap towards Tuneable Random Ontology Generation Via Probabilistic Generative Models

2018

As the sophistication of the tools available for manipulating ontologies increases, so does the need for novel and rich ontologies to use for purposes such as benchmarking, testing and validation. Ontology repositories are not ideally …

Towards Knowledge-driven Distillation and Explanation of Black-box Models.

2021 · Open Research (University of Surrey)

We introduce and discuss a knowledge-driven distillation approach to explaining black-box models by means of two kinds of interpretable models. The first is perceptron (or threshold) connectives, which enrich knowledge representation languages such as Description …