Alessandro Faraotti, Antonella Poggi, Berardino Salvatore, & Guido Vetere. (2009). Information management for crisis response in WORKPAD. In S. J. J. Landgren (Ed.), ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives. Gothenburg: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: WORKPAD (EU STREP project FP6-2005-IST-5-034749) is an experimental platform for Crisis Response which adopts a decentralized, event-driven approach to overcome problems and limitations of centralized systems. The flexibility of P2P networking is relevant when different organizations must get rapidly integrated the one another, without resorting on standardized ontologies and centralized middleware components. This paper illustrates the main features of the Information Integration platform we've designed. A number of relevant technical and theoretical issues related to decentralized platforms are discussed in the light of specific needs of Crisis Response.
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Olga Vybornova, Pierre-Alain Fonteyne, & Jean-Luc Gala. (2015). Ontology-Based Knowledge Representation and Information Management in a Biological Light Fieldable Laboratory. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: A comprehensive ontology has been developed to model the operational domain knowledge and provide information management for a light fieldable laboratory (LFL) performing molecular microbiological analyses. LFL is considered as a toolbox where all operational functions and tools used to execute these functions are incorporated into a single system. The ontology is used to facilitate the LFL mission preparation and management, to provide technical compatibility of sharable information between tools, and to align the terminology and definitions between tools while complying with standards, best practices and procedures. The LFL domain is a formalised and structured modelling the LFL concepts, procedures, functions, prescribing the necessary functions and delimiting those which are incompatible with the given mission or scenario. Such consistent logical modelling allows to efficiently plan and configure the LFL mission selecting only the necessary functions and tools from the whole collection and to activate them appropriately in due time.
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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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Sofia Kostakonti, Ramona Velea, Vassilis Papataxiarhis, Daniele Del Bianco, Uberto Delprato, & Stathes Hadjiefthymiades. (2021). A semantic approach for modeling vulnerability of communities. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 305–318). Blacksburg, VA (USA): Virginia Tech.
Abstract: In this paper, we propose the use of semantic technologies for the representation of concepts and relationships required for the modeling of vulnerability data for local communities. First, we discuss the concepts of vulnerability and resilience and we try to identify the relationship between the two. We provide some background knowledge and we present basic characteristics of the two concepts. Next, we discuss the motivation behind the use of semantic technologies, and we show how the proposed framework can address existing challenges in terms of vulnerability assessment. The core part of this paper focuses on the semantic representation of community vulnerability aspects. We give an overview of the layered semantic framework consisting of interconnected ontological models and we provide a set of use-cases where the use of semantic-based modeling and query answering can prove beneficial in terms of assessing vulnerability.
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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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