Disaster prevention and management is a complicated task that often involves a tremendous volume of heterogeneous data from various resources. With its dynamic and distributed nat...
Background: The integration of biomedical information is essential for tackling medical problems. We describe a data model in the domain of flow cytometry (FC) allowing for massiv...
John Drakos, Marina Karakantza, Nicholas C. Zoumbo...
The integration of supply chains as a mechanism for value creation is largely dependent on continuous flow of real time accurate information from the customer back upstream to the...
Data Stream Management (DSM) addresses the continuous processing of sensor data. DSM requires the combination of stream operators, which may run on different distributed devices, ...
Gert Brettlecker, Heiko Schuldt, Peter M. Fischer,...
This paper presents a loosely coupled service-composition paradigm. This paradigm employs a distributed data flow that differs markedly from centralized information flow adopted b...
David Liu, Jun Peng, Kincho H. Law, Gio Wiederhold