Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
Abstract. There are many connections between graph mining and inductive logic programming (ILP), or more generally relational learning. Up till now these connections have mostly be...
Abstract. We propose an approach for extending both the terminological and the assertional part of a Description Logic knowledge base by using information provided by the knowledge...
Franz Baader, Bernhard Ganter, Baris Sertkaya, Ulr...
Real-world automated reasoning systems must contend with inconsistencies and the vast amount of information stored in relational databases. In this paper, we introduce compilation...
Timothy L. Hinrichs, Jui-Yi Kao, Michael R. Genese...
We describe an extension of first-order logic with sequence variables and sequence functions. We define syntax, semantics and inference system for the extension so that Completen...