In this paper we provide a foundation of a theory of contextual reasoning from the perspective of a theory of knowledge representation. Starting from the so-called metaphor of the...
Massimo Benerecetti, Paolo Bouquet, Chiara Ghidini
A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...
Abstract. Ontologies are pervading many areas of knowledge representation and management. To date, most research efforts have been spent on the development of sufficiently express...
Abstract. Description logics are powerful knowledge representation systems providing well-founded and computationally tractable classification reasoning. However recognition of in...
In this paper we present a hybrid recommendation system that combines ontological knowledge with content-extracted linguistic information, derived from pre-trained lexical graphs,...
Dorothea Tsatsou, Fotis Menemenis, Ioannis Kompats...