This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Abstract. Amalgamation is a well-known concept for graph transformations in order to model synchronized parallelism of rules with shared subrules and corresponding transformations....
Earth Science Markup Language (ESML) is efficient and effective in representing scientific data in an XML-based formalism. However, features of the data being represented are no...
L. Ian Lumb, J. I. Lederman, J. R. Freemantle, Kei...
In this paper, we present the core concept and the benefits of an approach called RoboEarth which will be highly beneficial for future robotic applications in science and industry...
The emergence of the Web has made more and more news items available, however only a small subset of these news items are relevant in a decision making process. Therefore decision...
Jethro Borsje, Leonard Levering, Flavius Frasincar