This paper presents a probabilistic part-based approach for texture and object recognition. Textures are represented using a part dictionary found by quantizing the appearance of ...
: Ontology and schema matching are well established techniques, which have been applied in various integration scenarios, e.g., web service composition and database integration. Co...
Gerti Kappel, Horst Kargl, Gerhard Kramler, Andrea...
Abstract. This paper presents a controlled language for ontology editing and a software implementation, based partly on standard NLP tools, for processing that language and manipul...
Adam Funk, Valentin Tablan, Kalina Bontcheva, Hami...
— Neural networks have been proposed as an ideal cognitive modeling methodology to deal with the symbol grounding problem. More recently, such neural network approaches have been...
The aim of this paper is to provide tool developers with effective strategies to minimize the risks, costs, effort and time involved in handling model interchange issues. Specific...
Guy Saint-Denis, Reinhard Schauer, Rudolf K. Kelle...