Previous work on feature weighting for case-based learning algorithms has tended to use either global weights or weights that vary over extremely local regions of the case space. T...
Abstract. Description Logics (DLs) are a family of class based knowledge representation formalisms characterised by the use of various constructors to build complex classes from si...
We put forward a methodological approach aimed at guiding ontology modellers in choosing which relations to reify. Our proposal is based on the notion of aggregation as used in con...
Abstract. Explanation and argumentation are fundamental to reasoning. They are therefore of some importance to artificial intelligence. Discourse-based reasoning (DBR) is a knowled...
The paper proposes some applications of description logic reasoning techniques in web–based education environments. Current solutions are web oriented but without applying ontolo...