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| Author | Frédérick Bénaben; Chihab Hanachi; Matthieu Lauras; Pierre Couget; Vincent Chapurlat | ||||
| Title | A metamodel and its ontology to guide crisis characterization and its collaborative management | Type | Conference Article | ||
| Year | 2008 | Publication | Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | ISCRAM 2008 |
| Volume | Issue | Pages | 189-196 | ||
| Keywords | Characterization; Hardware; Ontology; Automated reasoning; Collaborative management; Collaborative process; Crisis; Crisis management; Metamodeling; Reference modeling; System of systems; Information systems | ||||
| 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. | ||||
| Address | Université de Toulouse, Mines ALBI, DR/GI, France; Université de Toulouse 1, France; Prefecture du Tarn, France; Ecole des Mines D'Alès, LGI2P, France | ||||
| Corporate Author | Thesis | ||||
| Publisher | Information Systems for Crisis Response and Management, ISCRAM | Place of Publication | Washington, DC | Editor | F. Fiedrich, B. Van de Walle |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 9780615206974 | Medium | |
| Track | Ontologies for Crisis Management | Expedition | Conference | 5th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 301 | |||
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| Author | Gary Berg-Cross | ||||
| Title | Improving situational ontologies to support adaptive crisis management knowledge architecture | Type | Conference Article | ||
| Year | 2008 | Publication | Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | ISCRAM 2008 |
| Volume | Issue | Pages | 537-545 | ||
| Keywords | Disaster prevention; Information services; Information systems; Ontology; Service oriented architecture (SOA); Adaptive architecture; Agent-based architecture; Cognitive architectures; Crisis situations; Design Patterns; Large-scale distributed system; Research and development; Semantic Web technology; Architecture | ||||
| Abstract | There is considerable interest in advance technologies to support crisis and disaster management as they face the challenges of designing, building, and maintaining large-scale distributed systems able to adapt to the dynamics and complexity of crises. Candidate technologies include Service Oriented Architecture (SOA), related Semantic Web technology, agent-based architecture and cognitive architectures. Each embodies some principles of the Adaptive Architecture-including modularity, openness, standards-based development, runtime support and importantly explicitness. However, truly adaptive architectures for crisis management will require some deepening the knowledge architecture's content and not just its representation. Light and more robust ontological models of situations are discussed to show how better formalization of conceptual patterns like “participation” can be developed to support cognitive architectures. The feasibility of an ontological design pattern approach is described as an avenue for future research and development describing specific types of situations. | ||||
| Address | Engineering, Management and Integration Semantic Technology, Herndon VA 20170, United States | ||||
| Corporate Author | Thesis | ||||
| Publisher | Information Systems for Crisis Response and Management, ISCRAM | Place of Publication | Washington, DC | Editor | F. Fiedrich, B. Van de Walle |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 9780615206974 | Medium | |
| Track | Adaptive Information Architectures for Interagency Crisis Management | Expedition | Conference | 5th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 307 | |||
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| Author | Chiara Bassetti; Roberta Ferrario; Maria Luiza M. Campos | ||||
| Title | Airport security checkpoints: an empirically-grounded ontological model for supporting collaborative work practices in safety critical environments | Type | Conference Article | ||
| Year | 2015 | Publication | ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | ISCRAM 2015 |
| Volume | Issue | Pages | |||
| Keywords | Airport security; collaboration model; ethnography; Ontology; work practices | ||||
| Abstract | Resulting from an interdisciplinary endeavor, the paper proposes an ontological model for supporting collaborative work practices in critical settings, and shows its application to a specific domain. The model is empirically-grounded, as based on ethnographic research carried out at an international airport ?clearly an example of safety-critical environment, where emergency prevention and preparedness are crucial. On the other hand, the model leverages on previous ontological work on collaboration and observation in emergency response, and revises it when necessary, thus contributing to its development. Taking hand-baggage screening as an example, the paper shows how the model can be applied, and how it could be used to run model-based simulation in order to better understand collaborative work practices and analyze the impact of different techno-organizational changes on such practices and their effectiveness. This could result in suggesting guidelines for enhancing workflow, security policies and, more generally, time- and safety-critical situations management. | ||||
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| Corporate Author | Thesis | ||||
| Publisher | University of Agder (UiA) | Place of Publication | Kristiansand, Norway | Editor | L. Palen; M. Buscher; T. Comes; A. Hughes |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 9788271177881 | Medium | |
| Track | Understanding Collaborative Work Practices | Expedition | Conference | ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | yes | |||
| Call Number | Serial | 1258 | |||
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| Author | Claire Laudy | ||||
| Title | Rumors detection on Social Media during Crisis Management | Type | Conference Article | ||
| Year | 2017 | Publication | Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management | Abbreviated Journal | Iscram 2017 |
| Volume | Issue | Pages | 623-632 | ||
| Keywords | Semantic information fusion; Uncertainty management; Ontology; Graph matching; conflict detection; rumors detection | ||||
| Abstract | Social Media monitoring has become a major issue in crisis and emergencies management. Indeed, social media may ease the sharing of information between citizens and Public Safety Organizations, but it also enables the rapid spreading of inaccurate information. As information is now provided and shared by anyone to anyone, information credibility is a major issue. We propose an approach to detect rumor in social media. This paper describes our work on semantic graph based information fusion, enhanced with uncertainty management capabilities. The uncertainty management capability enables managing the dierent level of credibility of actors of an emergency (dierent PSO oÿcers and citizens). Functions for information synthesis, conflicting information detection and information evaluation were developed and test during experimentation campaigns. The synthesis and conflicting information detection functionalities are very welcome by end-users. However, the uncertainty management is a combinatorial approach which remains a limitation for use with large amount of information. | ||||
| Address | Thales Research & Techology | ||||
| Corporate Author | Thesis | ||||
| Publisher | Iscram | Place of Publication | Albi, France | Editor | Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | Medium | ||
| Track | Social Media Studies | Expedition | Conference | 14th International Conference on Information Systems for Crisis Response And Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 2050 | |||
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| Author | Denis Barcaroli; Alex Coletti; Antonio De Nicola; Antonio Di Pietro; Luigi La Porta; Maurizio Pollino; Vittorio Rosato; Giordano Vicoli; Maria Luisa Villani | ||||
| Title | An Automatic Approach to Qualitative Risk Assessment in Metropolitan Areas | Type | Conference Article | ||
| Year | 2019 | Publication | Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management | Abbreviated Journal | Iscram 2019 |
| Volume | Issue | Pages | |||
| Keywords | Risk assessment, geographic information system, conceptual modeling, ontology, computational creativity | ||||
| Abstract | Risk assessment aims at improving prevention and preparedness phases of the crisis management lifecycle. Qualitative risk assessment of a system is important for risks identification and analysis by the various stakeholders and often requires multi-disciplinary knowledge. We present an automatic approach to qualitative risk assessment in metropolitan areas using semantic techniques. In particular, users are provided with a computational support to identify and prioritize by relevance risks of city services, through generation of semantic descriptions of risk situations. This approach is enabled by a software system consisting of: TERMINUS, a domain ontology representing city knowledge; WS-CREAM, a web service implementing risk identification and ranking functions; and CIPCast, a GIS-based Decision Support System with functions of risk forecast due to natural hazards. Finally we present the results of a preliminary validation of the generated risks concerning some points of interest in two different areas of the city of Rome. |
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| Address | ENEA, Italy;Booz Hallen Hamilton, United States | ||||
| Corporate Author | Thesis | ||||
| Publisher | Iscram | Place of Publication | Valencia, Spain | Editor | Franco, Z.; González, J.J.; Canós, J.H. |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 978-84-09-10498-7 | Medium | |
| Track | T10- Knowledge, Semantics and AI for RISK and CRISIS management | Expedition | Conference | 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) | |
| Notes | Approved | no | |||
| Call Number | Serial | 1886 | |||
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| Author | Paola Di Maio | ||||
| Title | Ontologies for networked centric emergency mangement operations | Type | Conference Article | ||
| Year | 2008 | Publication | Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | ISCRAM 2008 |
| Volume | Issue | Pages | 177-188 | ||
| Keywords | Civil defense; Disasters; Network architecture; Ontology; Risk management; Semantics; Collective intelligences; Conceptual frameworks; Distributed operations; Emergency; Emergency management; Emergency operations; Network centric operations; Organizational structures; Information systems | ||||
| 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. | ||||
| Address | School of Information Technology, United States | ||||
| Corporate Author | Thesis | ||||
| Publisher | Information Systems for Crisis Response and Management, ISCRAM | Place of Publication | Washington, DC | Editor | F. Fiedrich, B. Van de Walle |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 9780615206974 | Medium | |
| Track | Ontologies for Crisis Management | Expedition | Conference | 5th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 445 | |||
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| Author | Efstratios Kontopoulos; Panagiotis Mitzias; Jürgen Moßgraber; Philipp Hertweck; Hylke van der Schaaf; Désirée Hilbring; Francesca Lombardo; Daniele Norbiato; Michele Ferri; Anastasios Karakostas; Stefanos Vrochidis; Ioannis Kompatsiaris | ||||
| Title | Ontology-based Representation of Crisis Management Procedures for Climate Events | Type | Conference Article | ||
| Year | 2018 | Publication | ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2018 |
| Volume | Issue | Pages | 1064-1073 | ||
| Keywords | Crisis management, ontology, semantic integration, decision support, description logics | ||||
| Abstract | One of the most critical challenges faced by authorities during the management of a climate-related crisis is the overwhelming flow of heterogeneous information coming from humans and deployed sensors (e.g. cameras, temperature measurements, etc.), which has to be processed in order to filter meaningful items and provide crisis decision support. Towards addressing this challenge, ontologies can provide a semantically unified representation of the domain, along with superior capabilities in querying and information retrieval. Nevertheless, the recently proposed ontologies only cover subsets of the relevant concepts. This paper proposes a more “all-around” lightweight ontology for climate crisis management, which greatly facilitates decision support and merges several pertinent aspects: representation of a crisis, climate parameters that may cause climate crises, sensor analysis, crisis incidents and related impacts, first responder unit allocations. The ontology could constitute the backbone of the decision support systems for crisis management. | ||||
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| Corporate Author | Thesis | ||||
| Publisher | Rochester Institute of Technology | Place of Publication | Rochester, NY (USA) | Editor | Kees Boersma; Brian Tomaszeski |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 978-0-692-12760-5 | Medium | |
| Track | 1st International Workshop on Intelligent Crisis Management Technologies for Climate Events (ICMT) | Expedition | Conference | ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 2178 | |||
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| Author | Elmhadhbi Linda; Karray Mohamed Hedi; Archimède Bernard | ||||
| Title | Towards an Operational Emergency Response System for Large Scale Situations: POLARISC | Type | Conference Article | ||
| Year | 2018 | Publication | ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2018 |
| Volume | Issue | Pages | 778-785 | ||
| Keywords | Emergency response, Emergency Response System, Semantic interoperability, Ontology. | ||||
| Abstract | After a lot of recent natural and human-made disasters all over the word, the large scale emergency response process is becoming very critical and challenging. Lives can be lost and property can be harmed. To respond to these major threats, an effective operational emergency response system needs to address the necessity of data sharing, information exchange and correlation between different Emergency Responders (ERs) including firefighters, police, health care services, army, municipality and so on to successfully respond to large scale disasters. Therefore, the goal of this paper is to introduce POLARISC, an interoperable software solution based on a common and modular ontology shared by all the ERs. Its main objective is to solve the problem of semantic difference and heterogeneity of data to guarantee a common understanding among the various ERs in order to coordinate and to obtain a real time operational picture of the situation. | ||||
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| Corporate Author | Thesis | ||||
| Publisher | Rochester Institute of Technology | Place of Publication | Rochester, NY (USA) | Editor | Kees Boersma; Brian Tomaszeski |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 978-0-692-12760-5 | Medium | |
| Track | Universal Design of ICT in Emergency Management | Expedition | Conference | ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 2150 | |||
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| Author | Alessandro Faraotti; Antonella Poggi; Berardino Salvatore; Guido Vetere | ||||
| Title | Information management for crisis response in WORKPAD | Type | Conference Article | ||
| Year | 2009 | Publication | ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives | Abbreviated Journal | ISCRAM 2009 |
| Volume | Issue | Pages | |||
| Keywords | Data integration; Information services; Information systems; Knowledge representation; Middleware; Ontology; Service oriented architecture (SOA); Automatic reasoning; Centralized systems; Crisis response; Event-driven approach; Event-driven architectures; Experimental platform; Information integration; Middleware components; Information management | ||||
| 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. | ||||
| Address | IBM Center for Advanced Studies, Rome, Italy; Dipartimento di Informatica E Sistemistica, Universit di Roma La Sapienza, Antonio Ruberti, Italy; IBM Rome Solutions Lab, Italy | ||||
| Corporate Author | Thesis | ||||
| Publisher | Information Systems for Crisis Response and Management, ISCRAM | Place of Publication | Gothenburg | Editor | J. Landgren, S. Jul |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 9789163347153 | Medium | |
| Track | Standardization and Ontologies | Expedition | Conference | 6th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 484 | |||
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| Author | Antony Galton; Michael Worboys | ||||
| Title | An ontology of information for emergency management | Type | Conference Article | ||
| Year | 2011 | Publication | 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 | Abbreviated Journal | ISCRAM 2011 |
| Volume | Issue | Pages | |||
| Keywords | Civil defense; Disasters; Information systems; Ontology; Common operating pictures; Emergency management; Human volunteers; Information; Information integration; Integration problems; Risk management | ||||
| Abstract | The next generation of information systems for emergency management will be based on information provided by large and diverse collections of sensors, including information supplied by human volunteers. Consequently there is more than ever a need to provide solutions to the integration question, so that the Common Operating Picture can truly and effectively provide the unified view required of it. This paper describes some work on the ontology of information that can contribute to a solution of the integration problem. To set the stage, the paper discusses the relevance of information integration to emergency management, and then goes on to describe a project that provided the catalyst for this work. Later sections introduce ontological research and proceed to use it to lay the foundations for an ontology of information. In the final sections we indicate how such an ontology can be used in the context of emergency management. | ||||
| Address | University of Exeter, United Kingdom; University of Maine, United States | ||||
| Corporate Author | Thesis | ||||
| Publisher | Information Systems for Crisis Response and Management, ISCRAM | Place of Publication | Lisbon | Editor | M.A. Santos, L. Sousa, E. Portela |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 9789724922478 | Medium | |
| Track | Interoperability and Standards | Expedition | Conference | 8th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 518 | |||
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| Author | Grégoire Burel; Lara S. G. Piccolo; Kenny Meesters; Harith Alani | ||||
| Title | DoRES -- A Three-tier Ontology for Modelling Crises in the Digital Age | Type | Conference Article | ||
| Year | 2017 | Publication | Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management | Abbreviated Journal | Iscram 2017 |
| Volume | Issue | Pages | 834-845 | ||
| Keywords | Crisis Ontology; Situation Awareness; Emergency Model; Events; Reports | ||||
| Abstract | During emergency crises it is imperative to collect, organise, analyse and share critical information between individuals and humanitarian organisations. Although dierent models and platforms have been created for helping these particular issues, existing work tend to focus on only one or two of the previous matters. We propose the DoRES ontology for representing information sources, consolidating it into reports and then, representing event situation based on reports. Our approach is guided by the analysis of 1) the structure of a widely used situation awareness platform; 2) stakeholder interviews, and; 3) the structure of existing crisis datasets. Based on this, we extract 102 dierent competency questions that are then used for specifying and implementing the new three-tiers crisis model. We show that the model can successfully be used for mapping the 102 dierent competency questions to the classes, properties and relations of the implemented ontology. | ||||
| Address | Knowledge Media Institute (KMi), The Open University, Milton Keynes, United Kingdom; Centre for Integrated Emergency Management (CIEM), University of Agder Kristiansand, Norway | ||||
| Corporate Author | Thesis | ||||
| Publisher | Iscram | Place of Publication | Albi, France | Editor | Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | Medium | ||
| Track | New Technologies for Crisis Management | Expedition | Conference | 14th International Conference on Information Systems for Crisis Response And Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 2069 | |||
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| Author | Suradej Intagorn; Anon Plangprasopchok; Kristina Lerman | ||||
| Title | Harvesting geospatial knowledge from social metadata | Type | Conference Article | ||
| Year | 2010 | Publication | ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings | Abbreviated Journal | ISCRAM 2010 |
| Volume | Issue | Pages | |||
| Keywords | Information systems; Ontology; Flickr; Geo ontologies; Geo-spatial; Geo-tagging; Social annotations; Social webs; Metadata | ||||
| Abstract | Up-to-date geospatial information can help crisis management community to coordinate its response. In addition to data that is created and curated by experts, there is an abundance of user-generated, user-curated data on Social Web sites such as Flickr, Delicious, and Google Earth, that can be used to harvest knowledge to solve real-world problems. User-generated, or social, metadata can be used to learn concepts and relations between them that can improve information discovery, and data integration and management. We describe a method that aggregates social metadata created by thousands of users of the social photo-sharing site Flickr to learn geospatial concepts and relations. Our method leverages geotagged data to represent and reason about places. We evaluate learned geospatial relations by comparing them to a reference ontology provided by GeoNames.org. We show that our approach achieves good performance and also learns useful information that does not appear in the reference ontology. | ||||
| Address | USC, Information Sciences Institute, United States | ||||
| Corporate Author | Thesis | ||||
| Publisher | Information Systems for Crisis Response and Management, ISCRAM | Place of Publication | Seattle, WA | Editor | S. French, B. Tomaszewski, C. Zobel |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | Medium | ||
| Track | Geo-Information Support | Expedition | Conference | 7th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 616 | |||
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| Author | Yasir Javed; Tony Norris; David Johnston | ||||
| Title | Design approach to an emergency decision support system for mass evacuation | Type | Conference Article | ||
| Year | 2010 | Publication | ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings | Abbreviated Journal | ISCRAM 2010 |
| Volume | Issue | Pages | |||
| Keywords | Decision support systems; Design; Information science; Information systems; Ontology; Volcanoes; Edss; Emergency; Emergency decision makings; Emergency decision support; Evacuation; Human system interface; Information needs; Volcanic eruptions; Artificial intelligence | ||||
| Abstract | This paper is directed primarily to investigating the information needs of emergency managers following recognition of a risk of volcanic eruption. These needs include type of information required during the collection, integration, synthesis, presentation, and sharing of information. This will identify and model the processes underpinning the design of an emergency decision support system (EDSS). Exploration of the information needs, flows, and processes involved in emergency decision making can improve the design of EDSS both in terms of their content and the all-important human-system interfaces that determine their usability.The information attributes and flows then lead to the development of a prototype system that can be evaluated to test and refine the concepts. | ||||
| Address | Institute of Information and Mathematical Sciences, Massey University, Auckland, New Zealand; Joint Centre of Disaster Research, Massey University, Wellington, New Zealand | ||||
| Corporate Author | Thesis | ||||
| Publisher | Information Systems for Crisis Response and Management, ISCRAM | Place of Publication | Seattle, WA | Editor | S. French, B. Tomaszewski, C. Zobel |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | Medium | ||
| Track | Poster Session | Expedition | Conference | 7th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 622 | |||
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| Author | Yasir Javed; Tony Norris; David Johnston | ||||
| Title | Ontology-based inference to enhance team situation awareness in emergency management | Type | Conference Article | ||
| Year | 2011 | Publication | 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 | Abbreviated Journal | ISCRAM 2011 |
| Volume | Issue | Pages | |||
| Keywords | Decision making; Information systems; Ontology; Risk management; Semantics; Context; Cooperative tasks; Emergency; Emergency management; Emergency situation; Semantic technologies; Situation awareness; Team situation awareness; Human resource management | ||||
| Abstract | In this paper, we propose the use of an ontology-based and semantic technologies approach to improving shared situation awareness amongst teams dealing with emergency situations. We have also identified that shared and team situation awareness tends to be viewed only in terms of cooperative task completion and so we have tried to describe their important relationship with team decision making. The applicability of our approaches is demonstrated by a case study of mass evacuation in the case of a tsunami event. We show how ontology can be used to represent context-based situations and how the axioms and rules can improve team situation awareness. | ||||
| Address | Institute of Information and Mathematical Sciences, Massey University, Auckland, New Zealand; Joint Center of Disaster Research, Massey University, Wellington, New Zealand | ||||
| Corporate Author | Thesis | ||||
| Publisher | Information Systems for Crisis Response and Management, ISCRAM | Place of Publication | Lisbon | Editor | M.A. Santos, L. Sousa, E. Portela |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 9789724922478 | Medium | |
| Track | Analytical Information Systems | Expedition | Conference | 8th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 621 | |||
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| Author | Jiayao Li; Juanqiong Gou; Wenxin Mu; Liyu Peng | ||||
| Title | Modeling of Railway Risk Inter-Relation based on the study of Accident Context | Type | Conference Article | ||
| Year | 2017 | Publication | Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management | Abbreviated Journal | Iscram 2017 |
| Volume | Issue | Pages | 328-340 | ||
| Keywords | Railway risk source; accident context; ontology modeling; risk inter-relation | ||||
| Abstract | In order to detect and control the critical potential risk source of railway more scientifically, more reasonably and more accurately in complex accident context, a knowledge modeling method of risk inter-relation is proposed based on ontology modeling of accident context. First, the mechanism of accident causation is summarized based on the accident case analysis. Then, the knowledge model of accident cause is built based on ontology theory, including the ontology model of two context instances. Last but not least, the risk inter-relation rules with different dimensions of inter-relation patterns are inferred based on the instantiation of ontology model. The two context instances are used to illustrate the identification process of risk inter-relation. The results prove the rationality of the method, which can provide a reference for the precise railway risk prevention. | ||||
| Address | School of Economics and Management Beijing Jiaotong University | ||||
| Corporate Author | Thesis | ||||
| Publisher | Iscram | Place of Publication | Albi, France | Editor | Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | Medium | ||
| Track | Planning, Foresight and Risk analysis | Expedition | Conference | 14th International Conference on Information Systems for Crisis Response And Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 2022 | |||
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| Author | Satria Hutomo Jihan; Aviv Segev | ||||
| Title | Context ontology for humanitarian assistance in crisis response | Type | Conference Article | ||
| Year | 2013 | Publication | ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | ISCRAM 2013 |
| Volume | Issue | Pages | 526-535 | ||
| Keywords | Decision making; Hurricanes; Ontology; Context ontology; Crisis response; Decision makers; Humanitarian assistances; Humanitarian needs; Humanitarian response; Logic rules; Potential ability; Information systems | ||||
| Abstract | Massive crisis open data is not fully utilized to identify humanitarian needs because most of it is not in a structured format, thus hindering machines to interpret it automatically and process it in a short time into useful information for decision makers. To address these problems, the paper presents a method which merges ontologies and logic rules to represent the humanitarian needs and recommend appropriate humanitarian responses. The main advantage of the method is to identify humanitarian needs and to prioritize humanitarian responses automatically so that the decision makers are not overwhelmed with massive and unrelated information and can focus more on implementing the solutions. The method is implemented on real data from the Hurricane Wilma crisis. The use of the method in the hurricane Wilma crisis shows the potential abilities to identify the humanitarian needs in specific places and to prioritize humanitarian responses in real time. | ||||
| Address | Department of Knowledge Service Engineering, KAIST, Japan | ||||
| Corporate Author | Thesis | ||||
| Publisher | Karlsruher Institut fur Technologie | Place of Publication | KIT; Baden-Baden | Editor | T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 9783923704804 | Medium | |
| Track | Humanitarian Challenges | Expedition | Conference | 10th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 634 | |||
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| Author | Jürgen Moßgraber; Désirée Hilbring; Hylke van der Schaaf; Philipp Hertweck; Efstratios Kontopoulos; Panagiotis Mitzias; Ioannis Kompatsiaris; Stefanos Vrochidis; Anastasios Karakostas | ||||
| Title | The sensor to decision chain in crisis management | Type | Conference Article | ||
| Year | 2018 | Publication | ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2018 |
| Volume | Issue | Pages | 754-763 | ||
| Keywords | Sensors, Internet of Things, Knowledge Base, Ontology Visualization, Decision Support, Early Warning | ||||
| Abstract | In every disaster and crisis, incident time is the enemy, and getting accurate information about the scope, extent, and impact of the disaster is critical to creating and orchestrating an effective disaster response and recovery effort. Decision Support Systems for disaster and crisis situations need to solve the problem of facilitating the broad variety of sensors available today. This includes the research domain of the Internet of Things and data coming from social media. All this data needs to be aggregated and fused, the semantics of the data needs to be understood and the results must be presented to the decision makers in an accessible way. Furthermore, the interaction and integration with risk and crisis management systems are necessary for a better analysis of the situation and faster reaction times. This paper provides an insight into the sensor to decision chain and proposes solutions and technologies for each step. | ||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | Rochester Institute of Technology | Place of Publication | Rochester, NY (USA) | Editor | Kees Boersma; Brian Tomaszeski |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 978-0-692-12760-5 | Medium | |
| Track | Universal Design of ICT in Emergency Management | Expedition | Conference | ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 2148 | |||
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| Author | Fahem Kebair; Frédéric Serin | ||||
| Title | Towards an intelligent system for risk prevention and emergency management | Type | Conference Article | ||
| Year | 2008 | Publication | Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | ISCRAM 2008 |
| Volume | Issue | Pages | 526-535 | ||
| Keywords | Civil defense; Decision support systems; Disasters; Information systems; Intelligent systems; Multi agent systems; Ontology; Semantics; Agent-based architecture; Dynamic environments; Emergency management; Emergency management systems; Emergency planners; Risk prevention; Semantic features; Risk management | ||||
| Abstract | Making a decision in a changeable and dynamic environment is an arduous task owing to the lack of information, their uncertainties and the unawareness of planners about the future evolution of incidents. The use of a decision support system is an efficient solution for this issue. Such a system can help emergency planners and responders to detect possible emergencies, as well as to suggest and evaluate possible courses of action to deal with the emergency. We are interested in our work to the modelling of a monitoring preventive and emergency management system, wherein we stress the generic aspect. In this paper we propose an agent-based architecture of this system and we describe a first step of our approach which is the modeling of information and their representation using a multiagent system. | ||||
| Address | Laboratoire d'Informatique de Traitement de l'Information et des Systèmes, University of le Havre, France | ||||
| Corporate Author | Thesis | ||||
| Publisher | Information Systems for Crisis Response and Management, ISCRAM | Place of Publication | Washington, DC | Editor | F. Fiedrich, B. Van de Walle |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 9780615206974 | Medium | |
| Track | Intelligent Systems for Crisis and Disaster Management | Expedition | Conference | 5th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 646 | |||
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| Author | Rita Kovordanyi; Rudolf Schreiner; Jelle Pelfrene; Johan Jenvald; Henrik Eriksson; Amy Rankin; Michael Morin | ||||
| Title | Real-time support for exercise managers' situation assessment and decision making | Type | Conference Article | ||
| Year | 2012 | Publication | ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | ISCRAM 2012 |
| Volume | Issue | Pages | |||
| Keywords | Aggregates; Decision making; Decision support systems; Information systems; Managers; Ontology; Personnel training; Query languages; Semantics; Crisis management; Monitoring and controlling; Multiple response; Ontological representation; Semantic event processing; Situation assessment; Stream-based; Topic Maps; Human resource management | ||||
| Abstract | Exercise managers and instructors have a particularly challenging task in monitoring and controlling on-going exercises, which may involve multiple response teams and organizations in highly complex and continuously evolving crisis situations. Managers and instructors must handle potentially incomplete and conflicting field-observation data and make decisions in real-time in order to control the flow of the exercise and to keep it in line with the training objectives. In simulation-based exercises, managers and instructors have access to a rich set of real-time data, with an increased potential to closely monitor the trainees' actions, and to keep the exercise on track. To assist exercise managers and instructors, data about the on-going exercise can be filtered, aggregated and refined by real-time decision-support systems. We have developed a model and a prototype decision-support system, using stream-based reasoning to assist exercise managers and instructors in real-time. The approach takes advantage of topic maps for ontological representation and a complex-event processing engine for analyzing the data stream from a virtual-reality simulator for crisis-management training. Aggregated data is presented both on-screen, in Twitter, and in the form of topic maps. © 2012 ISCRAM. | ||||
| Address | Linköping University, Sweden; Object Security, Sweden; Space Applications Solutions, Sweden; VSL Systems, Sweden | ||||
| Corporate Author | Thesis | ||||
| Publisher | Simon Fraser University | Place of Publication | Vancouver, BC | Editor | L. Rothkrantz, J. Ristvej, Z.Franco |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 9780864913326 | Medium | |
| Track | Event-Driven Techniques and Methods for Crisis Management | Expedition | Conference | 9th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 143 | |||
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| Author | Philippe Kruchten; Carson Woo; Kafui Monu; Mandana Sotoodeh | ||||
| Title | A human-centered conceptual model of disasters affecting critical infrastructures | Type | Conference Article | ||
| Year | 2007 | Publication | Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers | Abbreviated Journal | ISCRAM 2007 |
| Volume | Issue | Pages | 327-344 | ||
| Keywords | Civil defense; Critical infrastructures; Disaster prevention; Disasters; Intelligent agents; Ontology; Conceptual modelling; Disaster management; Emergency preparedness; Infrastructure interdependencies; Meta model; Uml; Public works | ||||
| Abstract | Understanding the interdependencies of critical infrastructures (power, transport, communication, etc.) is essential in emergency preparedness and response in the face of disasters. Unfortunately, many factors (e.g., unwillingness to disclose or share critical data) prohibited the complete development of such an understanding. As an alternative solution, this paper presents a conceptual model-an ontology-of disasters affecting critical infrastructures. We bring humans into the loop and distinguish between the physical and social interdependencies between infrastructures, where the social layer deals with communication and coordination among representatives (either humans or intelligent agents) from the various critical infrastructures. We validated our conceptual model with people from several different critical infrastructures responsible for disasters management. We expect that this conceptual model can later be used by them as a common language to communicate, analyze, and simulate their interdependencies without having to disclose all critical and confidential data. We also derived tools from it. | ||||
| Address | Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada; Sauder School of Business, University of British Columbia, Vancouver, Canada | ||||
| Corporate Author | Thesis | ||||
| Publisher | Information Systems for Crisis Response and Management, ISCRAM | Place of Publication | Delft | Editor | B. Van de Walle, P. Burghardt, K. Nieuwenhuis |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 9789054874171; 9789090218717 | Medium | |
| Track | ASCM | Expedition | Conference | 4th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 662 | |||
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| Author | Leon J. M. Rothkrantz; Siska Fitrianie | ||||
| Title | Bayesian Classification of Disaster Events on the Basis of Icon Messages of Observers | Type | Conference Article | ||
| Year | 2015 | Publication | ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | ISCRAM 2015 |
| Volume | Issue | Pages | |||
| Keywords | Bayesian reasoning; classification of disaster events; crisis ontology; Icon-based language | ||||
| Abstract | During major disaster events, human operators in a crisis center will be overloaded with under-stress a flood of phone calls. As an increasing number of people in and around big cities do not master the native language, the need for automated systems that automatically process the context and content of information about disaster situations from the communicated messages becomes apparent. To support language-independent communication and to reduce the ambiguity and multitude semantics, we developed an icon-based reporting observation system. Contrast to previous approaches of such a system, we link icon messages to disaster events without using Natural Language Processing. We developed a dedicated set of icons related to the context and characteristic features of disaster events. The developed system is able to compute the probability of the appearance of possible disaster events using Bayesian reasoning. In this paper, we present the reporting system, the developed icons, the Bayesian model, and the results of two experiments. | ||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | University of Agder (UiA) | Place of Publication | Kristiansand, Norway | Editor | L. Palen; M. Buscher; T. Comes; A. Hughes |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 9788271177881 | Medium | |
| Track | Human Centred Design and Evaluation | Expedition | Conference | ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | yes | |||
| Call Number | Serial | 1219 | |||
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| Author | Linda Elmhadhbi; Mohamed-Hedi Karray; Bernard Archimède | ||||
| Title | A Modular Ontology for Semantically Enhanced Interoperability in Operational Disaster Response | Type | Conference Article | ||
| Year | 2019 | Publication | Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management | Abbreviated Journal | Iscram 2019 |
| Volume | Issue | Pages | |||
| Keywords | Semantic interoperability, modular ontology, upper-level ontology, mid-level ontology, disaster response | ||||
| Abstract | Up to now, the world has witnessed how inadequate communication capabilities can adversely affect disaster response efforts. There are various Emergency Responders (ERs) that potentially must work together towards a successful resolution of the disaster. However, the different terminologies and technical vocabularies that are being exchanged between the ERs may lead to a misunderstanding and lack of semantic integrity. Yet, understanding the semantics of the exchanged data is one of the major challenges. The purpose of this work is to define the complex knowledge of the ERs by proposing a common and modular ontology shared by all the stakeholders so as to come up with a common shared vocabulary in order to ensure semantic interoperability between ERs. In this paper, we present POLARISCO and we discuss how it was developed using Basic Formal Ontology as an upper-level ontology and Common Core Ontology as a mid-level ontology to define each module. | ||||
| Address | University of Toulouse, France | ||||
| Corporate Author | Thesis | ||||
| Publisher | Iscram | Place of Publication | Valencia, Spain | Editor | Franco, Z.; González, J.J.; Canós, J.H. |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 978-84-09-10498-7 | Medium | |
| Track | T10- Knowledge, Semantics and AI for RISK and CRISIS management | Expedition | Conference | 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) | |
| Notes | Approved | no | |||
| Call Number | Serial | 1960 | |||
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| Author | Shuming Liu; Christopher Brewster; Duncan Shaw | ||||
| Title | Ontologies for crisis management: A review of state of the art in ontology design and usability | Type | Conference Article | ||
| Year | 2013 | Publication | ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | ISCRAM 2013 |
| Volume | Issue | Pages | 349-359 | ||
| Keywords | Information systems; Interoperability; Ontology; Risk management; Semantic Web; Societies and institutions; Crisis management; Crisis management systems; Emergency management; Information interoperability; Information sharing; Nongovernmental organizations; Ontology design; Semantic Web technology; Management information systems | ||||
| Abstract | The growing use of a variety of information systems in crisis management both by non-governmental organizations (NGOs) and emergency management agencies makes the challenges of information sharing and interoperability increasingly important. The use of semantic web technologies is a growing area and is a technology stack specifically suited to these challenges. This paper presents a review of ontologies, vocabularies and taxonomies that are useful in crisis management systems. We identify the different subject areas relevant to crisis management based on a review of the literature. The different ontologies and vocabularies available are analysed in terms of their coverage, design and usability. We also consider the use cases for which they were designed and the degree to which they follow a variety of standards. While providing comprehensive ontologies for the crisis domain is not feasible or desirable there is considerable scope to develop ontologies for the subject areas not currently covered and for the purposes of interoperability. | ||||
| Address | Aston Business School, Aston University, Birmingham, United Kingdom; Warwick Business School, University of Warwick, Coventry, United Kingdom | ||||
| Corporate Author | Thesis | ||||
| Publisher | Karlsruher Institut fur Technologie | Place of Publication | KIT; Baden-Baden | Editor | T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 9783923704804 | Medium | |
| Track | Emergency Management Information Systems | Expedition | Conference | 10th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 714 | |||
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| Author | Jobst Löffler; Vera Hernández Ernst; Jochen Schon; Jens Pottebaum; Rainer Koch | ||||
| Title | Intelligent use of geospatial information for emergency operation management | Type | Conference Article | ||
| Year | 2007 | Publication | Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers | Abbreviated Journal | ISCRAM 2007 |
| Volume | Issue | Pages | 181-190 | ||
| Keywords | Information services; Multimedia systems; Natural resources management; Ontology; Resource allocation; Geo-spatial informations; Map service; Mobile data service; Mobile service architectures; Multi-media communications; Planning and controlling; Rescue operations; Resource management; Information management | ||||
| Abstract | This paper presents the EU project SHARE which aims at developing a mobile service architecture to support large-scale rescue operations with multimedia communication and information services. The task of planning and controlling large-scale rescue operations requires flexible and robust tools which help the rescue forces to do their search and rescue work with maximum efficiency. Resource planning tools and cartographic information about the operation site are essential to fulfill the complex task of operation management. The Interactive Resource Management and MAP3D are two modules which have been developed in the SHARE project to enable the rescue operation leadership to do efficient coordination of their forces during an operation. Our paper will focus on features and interdependencies of both tools taking into account innovative feedback and interaction mechanisms. | ||||
| Address | Fraunhofer IAIS, Sankt Augustin, Germany; University of Paderborn, Germany | ||||
| Corporate Author | Thesis | ||||
| Publisher | Information Systems for Crisis Response and Management, ISCRAM | Place of Publication | Delft | Editor | B. Van de Walle, P. Burghardt, K. Nieuwenhuis |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 9789054874171; 9789090218717 | Medium | |
| Track | GISC | Expedition | Conference | 4th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 722 | |||
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| Author | Marcello Cinque; Christian Esposito; Mario Fiorentino; Francisco Jose Perez Carrasco | ||||
| Title | A collaboration platform for data sharing among heterogeneous relief organizations for disaster management | Type | Conference Article | ||
| Year | 2015 | Publication | ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | ISCRAM 2015 |
| Volume | Issue | Pages | |||
| Keywords | Data Processing; Disaster Management; Interoperability; Ontology; Reconstruction and Recovery | ||||
| Abstract | Recently, we are witnessing the progressive increase in the occurrence of large-scale disasters, characterized by an overwhelming scale and number of causalities. After 72 hours from the disaster occurrence, the damaged area is interested by assessment, reconstruction and recovery actions from several heterogeneous organizations, which need to collaborate and being orchestrated by a centralized authority. This situation requires an effective data sharing by means of a proper middleware platform able to let such organizations to interoperate despite of their differences. Although international organizations have defined collaboration frameworks at the higher level, there is no ICT supporting platform at operational level able to realize the data sharing demanded by such collaborative frameworks. This work proposes a layered architecture and a preliminary implementation of such a middleware for messaging, data and knowledge management. We also illustrate a demonstration of the usability of such an implementation, so as to show the achievable interoperability. | ||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | University of Agder (UiA) | Place of Publication | Kristiansand, Norway | Editor | L. Palen; M. Buscher; T. Comes; A. Hughes |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 9788271177881 | Medium | |
| Track | Network Theory | Expedition | Conference | ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management | |
| Notes | Approved | no | |||
| Call Number | Serial | 1179 | |||
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