Abstract. This paper presents an algorithm of adaptation for a case-based reasoning system with cases and domain knowledge represented in the expressive description logic ALC. The ...
Our industrial partners have difficulties coping with maintenance and reuse of their software applications, due to the hard coded presence of domain knowledge in the implementation...
Inclusion of domain knowledge in a process of knowledge discovery in databases is a complex but very important part of successful knowledge discovery solutions. In real-life data m...
Locating content efficiently and conveniently is the key issue in P2P systems. In this paper we present SemanticPeer, an Ontology-Based P2P lookup service, to address this problem,...
Abstract. We argue that adaptability and extensibility can be guaranteed by the utilization of the concepts meta-modeling, formation of concepts and reflection, which require the u...
Stefan Jablonski, Ilia Petrov, Christian Meiler, U...
The Map Labelling Problem appears in several applications, mainly in Cartography. Although much research on this problem has been done, it is interesting to note that map-labellin...
Abstract. Many learning methods ignore domain knowledge in synthesis of concept approximation. We propose to use hierarchical schemes for learning approximations of complex concept...
Jan G. Bazan, Sinh Hoa Nguyen, Hung Son Nguyen, An...
Abstract. This paper presents a knowledge-based approach to eLearning, where the domain ontology plays central role as a resource structuring the learning content and supporting ...
Galia Angelova, Ognian Kalaydjiev, Albena Strupcha...
Abstract. Adaptation is one of the most problematic steps in the design and development of Case Based Reasoning (CBR) systems, as it may require considerable domain knowledge and i...
Abstract— Experts are capable of performing complex tasks in their specific field of expertise. To do this, they use a vast amount of explicit and tacit domain knowledge. For v...
Nicole J. J. P. Koenderink, Jan L. Top, Lucas J. v...