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» Evaluating Algorithms for Concept Description
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DEXA
2008
Springer
123views Database» more  DEXA 2008»
13 years 9 months ago
Evolutionary Clustering in Description Logics: Controlling Concept Formation and Drift in Ontologies
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...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
ICML
1996
IEEE
14 years 8 months ago
Learning Relational Concepts with Decision Trees
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...
Peter Geibel, Fritz Wysotzki
ECAI
2010
Springer
13 years 8 months ago
Parallel TBox Classification in Description Logics - First Experimental Results
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...
Mina Aslani, Volker Haarslev
ICIRA
2010
Springer
124views Robotics» more  ICIRA 2010»
13 years 6 months ago
Evaluating the Fuzzy Coverage Model for 3D Multi-camera Network Applications
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...
WEBI
2007
Springer
14 years 1 months ago
Detection of Web Subsites: Concepts, Algorithms, and Evaluation Issues
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 ...
Eduarda Mendes Rodrigues, Natasa Milic-Frayling, B...