A recurrent question in the design of intelligent agents is how to assign degrees of beliefs, or subjective probabilities, to various events in a relational environment. In the sta...
Abstract. Representing human spatial knowledge has long been a challenging research area. The objective of this paper is to model a route description of human navigation where verb...
To ensure the re-use of domain ontologies the usual approach relies on a pivot language, e.g., Kif, intoandfromwhich the domainontologyis translated. This requires several distinc...
Abstract. Modern description logic (DL) reasoners are known to be less efficient for DLs with inverse roles. The current loss of performance is largely due to the missing applicabi...
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...