We present a way of analyzing sensed context information formulated to help in the generation, documentation and assessment of the designs of context-aware applications. Starting w...
In the context of open environments like the Semantic Web, knowledge-based applications with autonomous knowledge sources have recently gained increased interest. For such sources...
Tina Froehner, Matthias Nickles, Gerhard Weiß...
In this paper, we describe a system for automatic and interactive content-based retrieval of video that integrates features, models, and semantics. The novelty of the approach lie...
John R. Smith, Savitha Srinivasan, Arnon Amir, San...
Text classification is one of the most actual among the natural language processing problems. In this paper the application of word-based PPM (Prediction by Partial Matching) mode...
In this paper, we present a stochastic model for the dynamic fleet management problem with random travel times. Our approach decomposes the problem into time-staged subproblems by...