Jens Pottebaum, Alexander Artikis, Robin Marterer, Georgios Paliouras, & Rainer Koch. (2011). Event definition for the application of event processing to intelligent resource management. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The application of event processing methods and systems carries high potential for the domain of crisis management and emergency response for different use cases and architectural aspects. This hypothesis is based on the general event based characteristics of the domain as well as former research approaches. Resource management represents a complex task for decision makers; therefore it is taken as a basic use case for this work. It builds up on foundations of resource management (use case and demand side) and event processing (technology and supply side). Methods and results are presented for the identification, definition and validation of events that happen in reality and corresponding event objects which are processed by information systems.
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Daniel Stein, Barbara Krausz, Jobst Löffler, Robin Marterer, Rolf Bardeli, Jochen Schwenninger, et al. (2012). Enriching an intelligent resource management system with automatic event recognition. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: Event recognition systems have high potential to support crisis management and emergency response. Given the vast amount of possible input channels, automatic processing of raw data is crucial. In this paper, we describe several components integrated in an overall intelligent resource management system, namely abnormal event detection in audio and video material, as well as automatic speech recognition within a public safety network. We elaborate on the challenges expected from real life data and the solutions that we applied. The overall system, based on Event-Driven Service-Oriented Architecture, has been implemented and partly integrated into the end users' infrastructures. The system is continuously running since almost two years, collecting data for research purposes. © 2012 ISCRAM.
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