Karl Wolf. (2013). Location information interoperability of CAP and PIDF-LO for early warning systems. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 381–385). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: The Common Alerting Protocol (CAP) is an open standard, which is universally used for early warning systems and other emergency information systems. Future early warning systems will also disseminate CAP warning messages to location aware Internet devices, such as notebooks, Internet phones or Internet-enabled television sets. These Internet devices have the option to acquire their current location as a Presence Information Data Format – Location Object (PIDF-LO) document by the protocols and means developed by the Internet Engineering Task Force (IETF). When an Internet device receives a CAP message, determination of whether this alert is relevant to the user at the current location is crucial. However, the civic address format of PIDF-LO is not interoperable with CAP. This paper describes these interoperability issues, which were collected during a prototype implementation and proposes a mapping of PIDF-LO location elements to CAP to achieve interoperability.
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Ka-Ping Yee, Dieterich Lawson, Dominic König, & Dale Zak. (2011). The tablecast data publishing protocol. 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: We describe an interoperability challenge that arose in Haiti, identify the parameters of a general problem in crisis data management, and present a protocol called Tablecast that is designed to address the problem. Tablecast enables crisis organizations to publish, share, and update tables of data in real time. It allows rows and columns of data to be merged from multiple sources, and its incremental update mechanism is designed to support offline editing and data collection. Tablecast uses a publish/subscribe model; the format is based on Atom and employs PubSubHubbub to distribute updates to subscribers.
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Zoltán Balogh, Emil Gatial, & Ladislav Hluchý. (2016). Poll Sourcing for Crisis Response. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
Abstract: During large scale crisis response operations there is an acute and continuous need to efficiently and quickly allocate a dynamically changing supply of resources. In this paper we are proposing a system, which uses polls to seamlessly discover, request, collect and aggregate information from engaged resource providers using the web or mobile devices. At the same time we aim to integrate information from sources such as sensors deployed on incident sites, publicly available open data, corporate legacy systems or documents stored on remote locations. The overall process of such Poll Sourcing also encompasses reservation and order of suitable resources. We provide a validation scenario concerning reservation of hospital beds during a mass casualty incident.
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