Abstract. We present a method based on clustering techniques to detect concept drift or novelty in a knowledge base expressed in Description Logics. The method exploits an effectiv...
In this paper, we describe two di erent learning tasks for relational structures. When learning a classi er for structures, the relational structures in the training sets are clas...
Abstract. One of the most frequently used inference services of description logic reasoners classifies all named classes of OWL ontologies into a subsumption hierarchy. Due to emer...
An intuitive three-dimensional task-oriented coverage model for 3D multi-camera networks based on fuzzy sets is presented. The model captures the vagueness inherent in the concept ...
Aaron Mavrinac, Jose Luis Alarcon Herrera, Xiang C...
Web sites are often organized into several regions, each dedicated to a specific topic or serving a particular function. From a user’s perspective, these regions typically form ...