3 papers
cs.LG2024
Learning big logical rules by joining small rules
Céline Hocquette, Andreas Niskanen, Rolf Morel +2
A major challenge in inductive logic programming is learning big rules. To address this challenge, we introduce an approach where we join small rules to learn big rules. We impleme…
cs.LG2023
Learning MDL logic programs from noisy data
Céline Hocquette, Andreas Niskanen, Matti Järvisalo +1
Many inductive logic programming approaches struggle to learn programs from noisy data. To overcome this limitation, we introduce an approach that learns minimal description length…
cs.AI2020
A Journey into Ontology Approximation: From Non-Horn to Horn
Anneke Haga, Carsten Lutz, Johannes Marti +1
We study complete approximations of an ontology formulated in a non-Horn description logic (DL) such as in a Horn DL such as~. We provide concrete app…