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The Backbone of Decision Support Systems: The Sensor to Decision Chain
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Author(s): Philipp Hertweck (Fraunhofer IOSB, Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany), Jürgen Moßgraber (Fraunhofer IOSB, Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany), Efstratios Kontopoulos (Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece), Panagiotis Mitzias (Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece), Tobias Hellmund (Fraunhofer IOSB, Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany), Anastasios Karakostas (Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece), Désirée Hilbring (Fraunhofer IOSB, Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany), Hylke van der Schaaf (Fraunhofer IOSB, Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany), Stefanos Vrochidis (Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece), Jan-Wilhem Blume (Fraunhofer IOSB, Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany)and Ioannis Kompatsiaris (Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece)
Copyright: 2021
Pages: 23
Source title:
Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-9023-2.ch002
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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.
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