Object-oriented case representations require approaches for similarity assessment that allow to compare two differently structured objects, in particular, objects belonging to diff...
This paper presents an agent-based approach to semantic exploration and knowledge discovery in large information spaces by means of capturing, visualizing and making usable implic...
Jasminko Novak, Michael Wurst, Monika Fleischmann,...
In this paper we deal with knowledge representation in the area of learning design and adaptive learning. Specification of concrete instances is usually context-dependent and does...
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
In this paper, we present a new approximation in Natural Language Processing (nlp) aimed at knowledge representation and acquisition using a formal syntactic frame. In practice, we...