Dennis Andersson, Sofie Pilemalm, & Niklas Hallberg. (2008). Evaluation of crisis management operations using Reconstruction and Exploration. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 118–125). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In this paper we present the Reconstruction and Exploration approach (R&E) and F-REX tool and their applications in a field exercise with the Swedish Rescue Services Agency with the purpose of investigating features needed for a computer supported approach for evaluation of large scale crisis management operations. After the exercise several interviews and one seminar were held to evaluate R&E as a representative for computer supported evaluation approaches for crisis management operations. Initial results indicate that multimedia presentation of key events from an operation can be very valuable not only to stimulate the participants to reflect on their own performance, but also to document and share lessons learned to non-participants.
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Niels Netten, & Maarten Van Someren. (2008). Identifying segments for routing emergency response dialogues. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 108–117). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In crisis management situations information is exchanged in different ways. In general, information is exchanged through spoken dialogues or text messaging conversations. Part of this exchanged dialogue information is often relevant to other actors involved in managing the crisis. Due to the dynamic character of the situation, dialogue partners may not be aware of who else needs the exchanged information. We present a coarse-grained segmentation method for automatically recognizing coherent dialogue segments which are then used for routing. We investigate the effectiveness of our features for recognizing boundaries of segments on transcribed emergency response dialogues and we compare classification by relevance of the identified information segments to the ideal topic segments.
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Jorge H. Roman, Linn Marks Collins, Ketan K. Mane, Mark L.B. Martinez, Carolyn E Dunford, & James E. Powell Jr. (2008). Reducing information overload in emergencies by detecting themes in web content. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 101–107). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Information on the Web has become increasingly important in disaster response. Yet much of this information is redundant. We are creating a suite of electronic knowledge management (eKM) tools that can be used to reduce by an order of magnitude the information that people need to read in order to gain and maintain awareness of web content during emergencies. In this paper, we describe research-in-progress on developing these tools and applying them to web content from organizations' websites and individuals' blogs. Results so far indicate that organizations' websites and individuals' blogs provide redundant coverage of general issues and that each provides additional information about specific issues. By using the tools we are developing, responders and victims will be able to quickly gather an overview of general issues derived from many websites, then learn more about specific issues by navigating to a few websites.
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Min Song, & Peishih Chang. (2008). Automatic extraction of abbreviation for emergency management websites. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 93–100). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In this paper we present a novel approach to reduce information proliferation and aid better information structure by automatically generating extraction of abbreviation for emergency management websites. 5.7 Giga Byte web data from 624 emergency management related web sites is collected and a list of acronyms is automatically generated by proposed system (AbbrevExtractor). Being the first attempt of applying abbreviation extraction to the field, this work is expected to provide comprehensive and timely information for emergency management communities in emergency preparedness, training and education. Future work is likely to involve more data collection and intelligent text analysis for dynamically maintaining and updating the list of acronyms and abbreviations.
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