Massimiliano De Leoni, Fabio De Rosa, Andrea Marrella, Massimo Mecella, Antonella Poggi, Alenka Krek, et al. (2007). Emergency management: From user requirements to a flexible P2P architecture. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 271–279). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The most effective way to design an emergency management system matching user needs is to perform a User-Centered Design; it relies on continuous interactions with end-users in order to understand better and better how organizations are arranged during emergencies, which data are exchanged and which steps are performed by organizations to face disastrous events. In this paper we (i) illustrate the methodology used to collect the user requirements for the emergency management system developed in the European research project WORKPAD, and (ii) describe the WORKPAD high level architecture stemming from such requirements. Specifically, the methodology is applied in the context of Regional Civil Protection of Calabria (Italy) and is used as basis to provide more general user requirements for emergency management systems.
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Dirk Fahland, Timo Mika Gläßer, Bastian Quilitz, Stephan Weißleder, & Ulf Leser. (2007). HUODINI-flexible information integration for disaster management. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 255–262). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Fast and effective disaster management requires access to a multitude of heterogeneous, distributed, and quickly changing data sets, such as maps, satellite images, or governmental databases. In the last years, also the information created by affected persons on web sites such as flickr.com or blogger.com became an important and very quickly adapting source of information. We developed HUODINI, a prototype system for the flexible integration and visu-alization of heterogeneous data sources for disaster management. HUODINI is based on Semantic Web technologies, and in particular RDF, to offer maximal flexibility in the types of data sources it can integrate. It supports a hybrid push/pull approach to cater for the requirements of fast-changing sources, such as news feeds, and maximum performance for querying the integrated data set. In this paper, we describe the design goals underlying our approach, its architecture, and report on first experiences with the system.
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Gordon Gow, Peter Anderson, & Nuwan Waidyanatha. (2007). Hazard warnings in Sri Lanka: Challenges of internetworking with Common Alerting Protocol. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 281–293). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: There is a growing call for the use of open source content standards for all-hazards, all-media alert and notification systems. This paper presents findings on the implementation of Common Alerting Protocol (CAP) as a content standard for a community-based hazard information network in Sri Lanka. CAP is being deployed as part of the HazInfo project, which has established last-mile networking capability for 32 tsunami-affected villages in Sri Lanka in order to study the suitability of various Information Communication Technologies (ICTs) for a standards-based community hazard information system. Results to date suggest that the basic internetworking arrangement at lower technical layers has proven to be reasonably robust and reliable but that a key challenge remains in the upper layers of application software and content provision. This is evident in the apparent difficulties faced when implementing CAP messaging over multiple last-mile systems that include commercial satellite and terrestrial network technologies (C/L/X-Band, GSM, and CDMA in modes of voice and text). Lessons learned from silent tests and live exercises point to several key bottlenecks in the system where the integrity of CAP messages is compromised due to problems associated with software interoperability or direct human intervention. The wider implication of this finding is that content standards by themselves are not sufficient to support appropriate and timely emergency response activities. Those working with content standards for hazard information systems must consider closely the interoperability issues at various layers of interconnectivity.
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Eli Rohn. (2007). A survey of schema standards and portals for emergency management and collaboration. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 263–269). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: We survey several emergency management related data structures and portals designed or adopted by standard bodies such as Organization for the Advancement of Structured Information Standards (OASIS) and Institute of Electrical and Electronics Engineers (IEEE), as well as standards designed or adopted by government agencies in the US and in the UK. The survey is by no means an exhaustive list of such standards and portals, but it gives a fair representation of the current state of affairs and resources to practitioners and researchers alike.
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Schreiber. (2007). Automatic generation of sensor queries in a WSN for environmental monitoring. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 245–254). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The design of a WSN for environmental data monitoring is a largely ad-hoc human process. In this paper, we propose the automatic generation of queries for sensor data extraction, based on the collection of a number of parameters concerning the physical phenomenon to be controlled, the relevant physical variables, the types of sensors to be deployed and their allocation, the data collection frequencies, and other features.
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