This paper presents the framework of a scale-oriented scheme for the presentation and classification of reverse engineered sections of procedural code into objects. The aim is to ...
Aaron J. Quigley, Margot Postema, Heinz W. Schmidt
In today's world there is a need for knowledge infrastructures that can support several autonomous knowledge bases all using different ontologies and constantly adapting thes...
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
—Speaking using unconstrained natural language is an intuitive and flexible way for humans to interact with robots. Understanding this kind of linguistic input is challenging be...
Thomas Kollar, Stefanie Tellex, Deb Roy, Nicholas ...
Self-management is one of the challenges for realizing Ambient Intelligence in pervasive computing. In this paper, we propose and present a semantic web based selfmanagement appro...