Abstract. Hierarchical classification problems gained increasing attention within the machine learning community, and several methods for hierarchically structured taxonomies have...
This paper tests the hypothesis that generic recovery techniques, such as process pairs, can survive most application faults without using application-specific information. We ex...
A concept learning framework for terminological representations is introduced. It is grounded on a method for inducing logic decision trees as an adaptation of the classic tree in...
Abstract. This work presents a clustering method which can be applied to relational knowledge bases. Namely, it can be used to discover interesting groupings of semantically annota...
This paper presents a software framework, called Collaborator, to provide a shared work-space supporting the activities of virtual teams. This system exploits seamless integration ...