Abstract. There is currently great interest in integrating knowledge discovery research into mainstream database systems. Such an enterprise is nontrivial because knowledge discove...
Abstract. Description Logics (DLs) are a family of knowledge representation formalisms mainly characterised by constructors to build complex concepts and roles from atomic ones. Ex...
Polymorphic record calculi have recently attracted much attention as a typed foundation for objectoriented programming. This is based on the fact that a function that selects a fi...
Abstract. Concept approximation is an inference service for Description Logics that provides “translations” of concept descriptions from one DL to a less expressive DL. In [4] ...
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...