Frédérick Bénaben, Chihab Hanachi, Matthieu Lauras, Pierre Couget, & Vincent Chapurlat. (2008). A metamodel and its ontology to guide crisis characterization and its collaborative management. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 189–196). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper presents a research in progress about the French ISyCri project that aims at providing partners involved in crisis management with an agile Mediation Information System (MIS). Not only this MIS shoul support the interoperability of the partners' information systems but it is also dedicated to coordinate their activities through a collaborative process. One of the first and main steps towards such a MIS, is to elaborate a common and sharable reference model built to characterize crisis situations. Such a model is also an input for automated reasoning to elaborate and adapt a crisis solving collaborative process. This article presents the objective of the project, our approach and our first results: a UML metamodel of crisis situation and its corresponding OWL ontology on top of which deductions are possible.
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Paola Di Maio. (2008). Ontologies for networked centric emergency mangement operations. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 177–188). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Emergency Management, like other fields of Operations, consists of information, communication and decision making. Thanks to the pervasiveness of real time networked infrastructures, such as the internet and the web, new models of operations are emerging, designed to leverage the aggregate the power of 'collective intelligence' and 'distributed action' facilitated by 'open world' systems environments. In order to develop effective information systems capable of supporting the distributed nature of emerging 'architectures of participation', it is necessary to devise adequate 'semantic structures', which in turn rely on sound and explicit conceptual frameworks, such as ontologies. However, there aren't enough 'ontologies' in the public domain that can be referenced to establish compatibility of architectures and serve as guidelines for the development of open, neutral and accountable information systems. In this paper we a) describe and analyse the 'distributed' and 'networked' nature of emergency operations b) put forward the notion information systems to support of emergency management today should be modeled on 'distributed' and networked organizational structures, and that ontologies in this domain should be built accordingly.
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Alessio Malizia, Francisco Astorga-Paliza, Teresa Onorati, Paloma Díaz, & Ignacio Aedo. (2008). Emergency alerts for all: An ontology based approach to improve accessibility in emergency alerting systems. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 197–207). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: When a disaster occurs it is critical that emergency response information systems share a common ontology to support their disaster management alerting functions and notifications. Notifications are critical when an emergency scenario is going to happen (e.g. a typhoon approaching) so it is crucial, for emergency systems, to be able to transmit them to all kinds of recipients. An ontology was developed by investigating different sources: accessibility guidelines, emergency response systems, communication devices and technologies, taking into account the different abilities of people to react to different alarms (e.g. mobile phone vibration as an alarm for deaf people). We think that the proposed ontology addresses the information needs for sharing and integrating emergency notification messages and contents over different emergency response information systems and to be accessible under different conditions and for different kind of users.
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Maurizio Marchese, Lorenzino Vaccari, Pavel Shvaiko, & Juan Pane. (2008). An application of approximate ontology matching in eResponse. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 294–304). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Ontology matching is a key problem in many metadata intensive application domains, including emergency response, data integration, peer-to-peer information sharing, web service composition, and query answering on the web. In this paper we present an emergency response scenario based on the organizational model as used in Trentino region, Italy. We provide a formalization of this scenario with the help of lightweight coordination calculus. Then, we discuss an automatic approximate structure preserving matching algorithm which we applied within the emergency response scenario. The evaluation results, though preliminary, are encouraging.
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Aviv Segev. (2008). Adaptive ontology use for crisis knowledge representation. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 285–293). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: While a crisis requires quick response of emergency management factors, ontology is generally represented in a static manner. Therefore, an adaptive ontology for crisis knowledge representation is needed to assist in coordinating relief efforts in different crisis situations. The paper describes a method of ontology modeling that modifies the ontology in real time during a crisis according to the crisis surroundings. An example of ontology use based on a sample Katrina crisis blog is presented.
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Jim Steel, Renato Iannella, & Ho-Pun Lam. (2008). Using ontologies for decision support in resource messaging. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 276–284). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Emergency management is by its nature, and in some jurisdictions by its definition, an activity that requires a concerted effort by a number of governmental and non-governmental agencies. There is a growing appreciation that collaboration between these parties is best served through the use of interoperable standards for message formats for purposes such as alerting and resource exchange. However, it is also important to realize that, although much advantage can be drawn from standardizing certain aspects of communication, such as the structure of messages, different agencies will use different vocabularies. In this paper we discuss how ontologies can be used with standard messaging formats for resource messaging to enable intelligent decision support mechanisms in the presence of differing vocabularies across organizational boundaries. We also present a survey of the opportunities for using ontologies in emergency management, and the issues that must be addressed.
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Gian Piero Zarri. (2008). Representing and managing 'narrative' terrorism information. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 208–218). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In this paper, we evoke first the ubiquity and the importance of the so-called 'nonfictional narrative' information, with a particular emphasis on the terrorism- and crime-related data. We show that the usual knowledge representation and 'ontological' techniques have difficulties in finding complete solutions for representing and using this type of information. We supply then some details about NKRL, a representation and inferencing environment especially created for an 'intelligent' exploitation of narrative information. We will also supply some examples concerning a “terrorism in Southern Philippines” general context to illustrate our approach.
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