1. The Backbone of Decision Support Systems: The Sensor to Decision Chain
- Author
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Panagiotis Mitzias, Philipp Hertweck, Efstratios Kontopoulos, Désirée Hilbring, Ioannis Kompatsiaris, Anastasios Karakostas, Stefanos Vrochidis, Jan-Wilhelm Blume, Tobias Hellmund, Hylke van der Schaaf, Jürgen Moßgraber, and Publica
- Subjects
Data Integration ,Decision support system ,Computer science ,Sensors ,Distributed computing ,010401 analytical chemistry ,0208 environmental biotechnology ,Internet of Things ,Decision Support ,General Medicine ,02 engineering and technology ,Reasoning ,01 natural sciences ,0104 chemical sciences ,020801 environmental engineering ,Data Aggregation ,Chain (algebraic topology) ,Crisis Management ,0202 electrical engineering, electronic engineering, information engineering ,Ontologies ,Early Warning ,020201 artificial intelligence & image processing ,Semantic Modelling ,Visualization - Abstract
Understanding the current situation is critical in every natural disaster or crisis. Therefore, there is a need for accurate and up-to-date information about the scope, extent and impact of a disaster. The basis for this information is data that is available through a variety of sensors. Decision Support Systems (DSSs) support decision makers in disaster management, response, and recovery by providing early warnings, insights into the current situation and recommendations for mitigation actions. For this purpose, raw sensor data needs to be collected, analyzed, integrated, and its semantics need to be automatically understood by the system. This series of processes forms a generic sensor to decision chain. In this paper, we present solutions and technologies to integrate those steps seamlessly, also demonstrating how each step of the pipeline can be visualized.
- Published
- 2019
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