Records |
Author |
Xiaojing Guo; Xinzhi Wang; Luyao Kou; Hui Zhang |
Title |
A Question Answering System Applied to Disasters |
Type |
Conference Article |
Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
Volume |
|
Issue |
|
Pages |
2-16 |
Keywords |
Emergency Management, Disaster, Natural Language Processing, Deep Learning |
Abstract |
In emergency management, identifying disaster information accurately and promptly out of numerous documents like news articles, announcements, and reports is important for decision makers to accomplish their mission efficiently. This paper studies the application of the question answering system which can automatically locate answers in the documents by natural language processing to improve the efficiency and accuracy of disaster knowledge extraction. Firstly, an improved question answering model was constructed based on the advantages of the existing neural network models. Secondly, the English question answering dataset pertinent to disasters and the Chinese question answering dataset were constructed. Finally, the improved neural network model was trained on the datasets and tested by calculating the F1 and EM scores which indicated that a higher question answering accuracy was achieved. The improved system has a deeper understanding of the semantic information and can be used to construct the disaster knowledge graph. |
Address |
Institute of Public Safety Research, Tsinghua University; School of Computer Engineering and Science, Shanghai University; Institute of Public Safety Research, Tsinghua University; Institute of Public Safety Research, Tsinghua University |
Corporate Author |
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Thesis |
|
Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
978-1-949373-61-5 |
ISBN |
|
Medium |
|
Track |
AI and Intelligent Systems for Crises and Risks |
Expedition |
|
Conference |
18th International Conference on Information Systems for Crisis Response and Management |
Notes |
gxj19@mails.tsinghua.edu.cn |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2308 |
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Author |
Nada Matta; Thomas Godard; Guillaume Delatour; Ludovic Blay; Franck Pouzet; Audrey Senator |
Title |
Analyzing Social Media in Crisis Management Using Expertise Feedback Modelling |
Type |
Conference Article |
Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
Volume |
|
Issue |
|
Pages |
17-27 |
Keywords |
Social Media analysis, TextMining, sentiment analysis, crisis management, decision making |
Abstract |
Currently social media are largely used in interactions, especially in crisis situations. We note a big volume of interactions around events. Observing these interactions give information even to alert the existence of an incident, event, or to understand the expansion of a problem. Crisis management actors observe social media to be aware about this type of information in order to consider them in their decisions. Specific organizations are founded in order to observe social media interactions and send their analysis to rescue and crisis management actors. In our work, an experience feedback of this type of organizations (VISOV, a crisis social media analysis association) is capitalized in order to emphasize from one side, main dimensions of this analysis and from another side, to simulate some aspects using TextMining that help to explore big volume of data. |
Address |
University of Technology of Troyes; University of Technology of Troyes; University of Technology of Troyes; VISOV; CS Group; ENSOSP |
Corporate Author |
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Thesis |
|
Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
978-1-949373-61-5 |
ISBN |
|
Medium |
|
Track |
AI and Intelligent Systems for Crises and Risks |
Expedition |
|
Conference |
18th International Conference on Information Systems for Crisis Response and Management |
Notes |
nada.matta@utt.fr |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2309 |
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Author |
Audun Stolpe; Jo Hannay |
Title |
On the Adaptive Delegation and Sequencing of Actions |
Type |
Conference Article |
Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
Volume |
|
Issue |
|
Pages |
28-39 |
Keywords |
Decision support, AI Planning, Delegation, Sequencing, Adaptivity, Cognitive processes |
Abstract |
Information systems support to crisis response and management relies crucially on presenting actionable information in a manner that supports cognitive processes, and does not overwhelm them. We outline how AI Planning can be used viably to support the \emph{delegation and sequencing} of tasks. The idea is to use standard operating procedures as initial specifications of plans in terms of actors, actions and delegation rules. When expressed in the AI planning language \textit{Answer set Programming} (ASP), machine reasoning can be used in a \textit{pre-incident review} to display relevant delegation and sequencing inherent in a plan. % together with measures of goal achievement. The purpose of this is to uncover weaknesses in the initial plan and to optimize sequencing and delegation to increase the likelihood of achieving goals. Further, adaptive planning can be supported in \textit{during-incident reviews} by updating the current status, upon which ASP will then compute new alternatives. % and corresponding goal achievement measures. At this point, initial goals may no longer be viable and the explicit suggestion of prior sub-optimal goals now worth pursuing can be a game-changer under stress. The conceptual basis we lay out in terms of delegation and sequencing can be readily extended with further planning factors, such as resource requirements, role transfer and goal achievement. |
Address |
Norwegian Computing Center; Norwegian Computing Center |
Corporate Author |
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Thesis |
|
Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
978-1-949373-61-5 |
ISBN |
|
Medium |
|
Track |
AI and Intelligent Systems for Crises and Risks |
Expedition |
|
Conference |
18th International Conference on Information Systems for Crisis Response and Management |
Notes |
audun.stolpe@its.uio.no |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2310 |
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Author |
Nilani Algiriyage; Raj Prasanna; Kristin Stock; Emma Hudson-Doyle; David Johnston; Minura Punchihewa; Santhoopa Jayawardhana |
Title |
Towards Real-time Traffic Flow Estimation using YOLO and SORT from Surveillance Video Footage |
Type |
Conference Article |
Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
Volume |
|
Issue |
|
Pages |
40-48 |
Keywords |
Computer Vision, Traffic Flow, YOLOv4, CCTV Big Data |
Abstract |
Traffic emergencies and resulting delays cause a significant impact on the economy and society. Traffic flow estimation is one of the early steps in urban planning and managing traffic infrastructure. Traditionally, traffic flow rates were commonly measured using underground inductive loops, pneumatic road tubes, and temporary manual counts. However, these approaches can not be used in large areas due to high costs, road surface degradation and implementation difficulties. Recent advancement of computer vision techniques in combination with freely available closed-circuit television (CCTV) datasets has provided opportunities for vehicle detection and classification. This study addresses the problem of estimating traffic flow using low-quality video data from a surveillance camera. Therefore, we have trained the novel YOLOv4 algorithm for five object classes (car, truck, van, bike, and bus). Also, we introduce an algorithm to count the vehicles using the SORT tracker based on movement direction such as ``northbound'' and ``southbound'' to obtain the traffic flow rates. The experimental results, for a CCTV footage in Christchurch, New Zealand shows the effectiveness of the proposed approach. In future research, we expect to train on large and more diverse datasets that cover various weather and lighting conditions. |
Address |
Massey University; Massey University; Massey University; Joint Centre for Disaster Research, Massey University; Joint Center of Disaster Research, Massey University Wellington; University of Kelaniya; Univerity of Kelaniya |
Corporate Author |
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Thesis |
|
Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
978-1-949373-61-5 |
ISBN |
|
Medium |
|
Track |
AI and Intelligent Systems for Crises and Risks |
Expedition |
|
Conference |
18th International Conference on Information Systems for Crisis Response and Management |
Notes |
rangika.nilani@gmail.com |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2311 |
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Author |
Kenneth Johnson; Javier Cámara; Roopak Sinha; Samaneh Madanian; Dave Parry |
Title |
Towards Self-Adaptive Disaster Management Systems |
Type |
Conference Article |
Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
Volume |
|
Issue |
|
Pages |
49-61 |
Keywords |
disaster management, self-adaptive systems, formal verification, probabilistic model checking, constraint solving |
Abstract |
Disasters often occur without warning and despite extensive preparation, disaster managers must take action to respond to changes critical resource allocations to support existing health-care facilities and emergency triages. A key challenge is to devise sound and verifiable resourcing plans within an evolving disaster scenario. Our main contribution is the development of a conceptual self-adaptive system featuring a monitor-analyse-plan-execute (MAPE) feedback loop to continually adapt resourcing within the disaster-affected region in response to changing usage and requirements. We illustrate the system's use on a case study based on Auckland city (New Zealand). Uncertainty arising from partial knowledge of infrastructure conditions and outcomes of human participant's actions are modelled and automatically analysed using formal verification techniques. The analysis inform plans for routing resources to where they are needed in the region. Our approach is shown to readily support multiple model and verification techniques applicable to a range of disaster scenarios. |
Address |
Auckland University of Technology; University of York; Auckland University of Technology; AUT university; Auckland University of Technology |
Corporate Author |
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Thesis |
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Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
978-1-949373-61-5 |
ISBN |
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Medium |
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Track |
AI and Intelligent Systems for Crises and Risks |
Expedition |
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Conference |
18th International Conference on Information Systems for Crisis Response and Management |
Notes |
kenneth.johnson@aut.ac.nz |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2312 |
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Author |
Tina Mioch; Reinier Sterkenburg; Tatjana Beuker; Mark A. Neerincx |
Title |
Actionable Situation Awareness: Supporting Team Decisions in Hazardous Situations |
Type |
Conference Article |
Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
Volume |
|
Issue |
|
Pages |
62-70 |
Keywords |
Situation Awareness, Actionability, Decision support, Chemical hazard |
Abstract |
Situation Awareness (SA) has been recognized and studied as an important requirement for an effective task performance of first responders. The integration of increasingly advanced sensor, network and artificial intelligence technology into the work processes affects the building, maintenance and sharing of SA. Connecting SA to decision support models provides new possibilities for the development of actionable SA (aSA), entailing information that guides the momentary decision-making processes of the concerning actors. In the European ASSISTANCE project, we are developing an aSA module that displays information about gas distributions, its current and predicted future states (e.g., entailing risks of breathing-in of toxic gases), with references to effective decision-making patterns for this situation. The aSA model is continuously updated based on sensor data. This paper gives an overview of this aSA module for chemical hazard prediction and corresponding display, and presents initial team design patterns that will be integrated into this display to support its actionability. |
Address |
Tno; Tno; Tno; Tno |
Corporate Author |
|
Thesis |
|
Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
978-1-949373-61-5 |
ISBN |
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Medium |
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Track |
AI and Intelligent Systems for Crises and Risks |
Expedition |
|
Conference |
18th International Conference on Information Systems for Crisis Response and Management |
Notes |
tina.mioch@tno.nl |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2313 |
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Author |
Oussema Ben Amara; Daouda Kamissoko; Frédérick Benaben; Ygal Fijalkow |
Title |
Hardware architecture for the evaluation of BCP robustness indicators through massive data collection and interpretation |
Type |
Conference Article |
Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
Volume |
|
Issue |
|
Pages |
71-78 |
Keywords |
Business Continuity Plan, Social sciences, Risk Management, Robustness, Embedded Hardware |
Abstract |
Recently, the concept of robustness measurement has become clearly important especially with the rise of risky events such as natural disasters and mortal pandemics. In this context, this paper proposes an overview of a hardware architecture for massive data collection in the aim of evaluating robustness indicators. This paper essentially addresses the theoretical and general problems that the scientific research is seeking to address in this area, offers a literature review of what already exists and, based on preliminary diagnosis of what the literature has, presents a new approach and some of the targeted findings with a focus on the leading aspects, having a primary objective of explaining the multiple aspects of this research work. |
Address |
IMT Mines Albi, University of Toulouse; IMT Mines Albi, University of Toulouse; IMT Mines Albi, University of Toulouse; INU Champollion, University of Toulouse |
Corporate Author |
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Thesis |
|
Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
978-1-949373-61-5 |
ISBN |
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Medium |
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Track |
AI and Intelligent Systems for Crises and Risks |
Expedition |
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Conference |
18th International Conference on Information Systems for Crisis Response and Management |
Notes |
oussema.ben_amara@mines-albi.fr |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2314 |
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Author |
Antonio De Nicola; Maria Luisa Villani; Francesco Costantino; Andrea Falegnami; Riccardo Patriarca |
Title |
Knowledge Fusion for Distributed Situational Awareness driven by the WAx Conceptual Framework |
Type |
Conference Article |
Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
Volume |
|
Issue |
|
Pages |
79-85 |
Keywords |
distributed situational awareness, knowledge fusion, WAx framework, crisis management, cyber-socio-technical systems |
Abstract |
Large crisis scenarios involve several actors, acting at the blunt-end of the process, such as rescue team directors, and at the sharp-end, such as firefighters. All of them have different perspectives on the crisis situation, which could be either coherent, alternative or complementary. This heterogeneity of perceptions hinders situational awareness, which is defined as the achievement of an overall picture on the above-mentioned crisis situation. We define knowledge fusion as the process of integrating multiple knowledge entities to produce actionable knowledge, which is consistent, accurate, and useful for the purpose of the analysis. Hence, we present a conceptual modelling approach to gather and integrate knowledge related to large crisis scenarios from locally-distributed sources that can make it actionable. The approach builds on the WAx framework for cyber-socio-technical systems and aims at classifying and coping with the different knowledge entities generated by the involved operators. The conceptual outcomes of the approach are then discussed in terms of open research challenges for knowledge fusion in crisis scenarios. |
Address |
ENEA; ENEA – CR Casaccia; Sapienza University of Rome; Sapienza University of Rome; Sapienza University of Rome |
Corporate Author |
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Thesis |
|
Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
978-1-949373-61-5 |
ISBN |
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Medium |
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Track |
AI and Intelligent Systems for Crises and Risks |
Expedition |
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Conference |
18th International Conference on Information Systems for Crisis Response and Management |
Notes |
antonio.denicola@enea.it |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2315 |
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Author |
Rouba Iskandar; Julie Dugdale; Elise Beck; Cécile Cornou |
Title |
PEERS: An integrated agent-based framework for simulating pedestrians' earthquake evacuation |
Type |
Conference Article |
Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
Volume |
|
Issue |
|
Pages |
86-96 |
Keywords |
Seismic risk, human behavior, interdisciplinarity, evacuation, agent-based model |
Abstract |
Traditional seismic risk assessment approaches focus on assessing the damages to the urban fabric and the resultant socio-economic consequences, without adequately incorporating the social component of risk. However, the human behavior is essential for anticipating the impacts of an earthquake, and should be included in quantitative risk assessment studies. This paper proposes an interdisciplinary agent-based modeling framework for simulating pedestrians' evacuation in an urban environment during and in the immediate aftermath of an earthquake. The model is applied to Beirut, Lebanon and integrates geo-spatial, socio-demographic, and quantitative behavioral data corresponding to the study area. Several scenarios are proposed to be explored using this model in order to identify the influence of relevant model parameters. These experiments could contribute to the development of improved of emergency management plans and prevention strategies. |
Address |
Université Grenoble Alpes, ISTerre, Pacte, LIG; Université Grenoble Alpes, LIG; Université Grenoble Alpes, Pacte; Université Grenoble Alpes, ISTerre |
Corporate Author |
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Thesis |
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Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
978-1-949373-61-5 |
ISBN |
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Medium |
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Track |
AI and Intelligent Systems for Crises and Risks |
Expedition |
|
Conference |
18th International Conference on Information Systems for Crisis Response and Management |
Notes |
rouba.iskandar@univ-grenoble-alpes.fr |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2316 |
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Author |
Yasas Senarath; Jennifer Chan; Hemant Purohit; Ozlem Uzuner |
Title |
Evaluating the Relevance of UMLS Knowledge Base for Public Health Informatics during Disasters |
Type |
Conference Article |
Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
Volume |
|
Issue |
|
Pages |
97-105 |
Keywords |
Public Health, Disaster Informatics, Health Informatics, UMLS, Metathesaurus |
Abstract |
During disasters public health organizations increasingly face challenges in acquiring and transforming real-time data into knowledge about the dynamic public health needs. Resources on the internet can provide valuable information for extracting knowledge that can help improve decisions which will ultimately result in targeted and efficient health services. Digital content such as online articles, blogs, and social media are some of such information sources that could be leveraged to improve the health care systems during disasters. To efficiently and accurately identify relevant disaster health information, extraction tools require a common vocabulary that is aligned to the health domain so that the knowledge from these unstructured digital sources can be accurately structured and organized. In this paper, we study the degree to which the Unified Medical Language System (UMLS) contains relevant disaster, public health, and medical concepts for which public health information in disaster domain could be extracted from digital sources. |
Address |
George Mason University; Northwestern University; George Mason University; George Mason University |
Corporate Author |
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Thesis |
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Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
978-1-949373-61-5 |
ISBN |
|
Medium |
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Track |
AI and Intelligent Systems for Crises and Risks |
Expedition |
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Conference |
18th International Conference on Information Systems for Crisis Response and Management |
Notes |
ywijesu@gmu.edu |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2317 |
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Author |
Dashley Rouwendal van Schijndel; Audun Stolpe; Jo Erskine Hannay |
Title |
Toward an AI-based external scenario event controller for crisis response simulations |
Type |
Conference Article |
Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
Volume |
|
Issue |
|
Pages |
106-117 |
Keywords |
Scenario event controller, AI Planning, Modelling and Simulation, Simulation controller |
Abstract |
There is a need for tool support for structured planning, execution and analysis of simulation-based training for crisisresponse and management. As a central component of an architecture for such tool support, we outline the design ofan AI-based scenario event controller. The event controller is a component that uses machine reasoning to computethe next state in a scenario, given the actions performed in the corresponding simulation (execution of the scenario).Scenarios are specified in Answer Set Programming, which is a logic programming language we use for automatedplanning of training scenarios. A plan encoding in ASP adds expressivity in scenario specification and enablesmachine reasoning. For exercise managers this gives AI-based tool support for before-action and during-actionreviews to optimize learning. In line with Modelling and Simulation as as Service, our approach externalizes eventcontrol from any particular simulation platform. The scenario, and its unfolding in terms of events, is externalizedas a service. This increases interoperability and enables scenarios to be designed and modified readily and rapidlyto adapt to new training requirements. |
Address |
University of Oslo; Norsk Regnesentral; Norsk Regnesentral |
Corporate Author |
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Thesis |
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Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
978-1-949373-61-5 |
ISBN |
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Medium |
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Track |
AI and Intelligent Systems for Crises and Risks |
Expedition |
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Conference |
18th International Conference on Information Systems for Crisis Response and Management |
Notes |
d.k.rouwendal@its.uio.no |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2318 |
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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 |
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Thesis |
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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 |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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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 |
Ola Leifler |
Title |
Combining technical and human-centered strategies for decision support in command and control: The ComPlan approach |
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 |
504-515 |
Keywords |
Cognitive systems; Decision support systems; Knowledge based systems; Collaborative command and control; Command and control; Conceptual frameworks; Constraint violation; Critiquing; Decision supports; Mixed-initiative planning; Technical research; Command and control systems |
Abstract |
ComPlan (A Combined, Collaborative Command and Control Planning tool) is an approach to providing knowledge-based decision support in the context of command and control. It combines technical research on automated planning tools with human-centered research on mission planning. At its core, ComPlan uses interconnected views of a planning situation to present and manipulate aspects of a scenario. By using domain knowledge flexibly, it presents immediate and directly visible feedback on constraint violations of a plan, facilitates mental simulation of events, and provides support for synchronization of concurrently working mission planners. The conceptual framework of ComPlan is grounded on three main principles from human-centered research on command and control: transparency, graceful regulation, and event-based feedback. As a result, ComPlan provides a model for applying a human-centered perspective on plan authoring tools for command and control, and a demonstration for how to apply that model in an integrated plan-authoring environment. |
Address |
Linköpings Universitet, Sweden |
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 |
684 |
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|
Author |
Stephen Potter; Gerhard Wickler |
Title |
Model-based query systems for emergency response |
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 |
495-503 |
Keywords |
Artificial intelligence; Information systems; Models; Advanced sensors; Command-and-control; Emergency responders; Emergency response; Fire emergencies; General architectures; Grid technologies; Query systems; Emergency services |
Abstract |
In this paper we describe the approach adopted and experiences gained during a project to develop a general architecture that aims to harness advanced sensor, modelling and Grid technologies to assist emergency responders in tackling emergencies (specifically fire emergencies). Here we focus on the command and control aspects of this architecture, and in particular, on a query-based approach that has been adopted to allow end users to interact with available models of physical and other phenomena. The development of this has provided a number of insights about the use of such models, which along with the approach itself, should be of interest to any considering similar applications. |
Address |
AIAI, School of Informatics, University of Edinburgh, United Kingdom |
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 |
851 |
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Author |
Alexander Smirnov; Nikolay Shilov; Tatiana Levashova; Alexey Kashevnik |
Title |
Web-service network for disaster 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 |
516-525 |
Keywords |
Decision support systems; Disaster prevention; Disasters; Information systems; Problem solving; Constraint Satisfaction; Context; Disaster response; Operational decision support; Self-organising; Web services |
Abstract |
The paper addresses the issue of context-aware operational decision support in emergency situations. A decision support system (DSS) developed for this purpose is implemented as a network of a set of Web-services. The Web-services try to organise a service network according to context. Here the context is proposed to be modelled as a “problem model”. It specifies problems to be solved in a particular kind of emergency situation. Context is produced based on the knowledge extracted from the application domain (application ontology) and formalised by a set of constraints. The purpose of the service network is provision the DSS with contextualised information from diverse information sources and solving problems specified in the context. In the framework of context-aware operational decision support, composition of the application ontology for the disaster management domain from the Semantic Web Ontologies is discussed and a hybrid technology of context-aware operational decision support is presented. The technology is based on ontology management, context management, constraint satisfaction, and Web Services. Application of the ideas above is illustrated by an example of a decision support system for real-time resource coordination and situation awareness for logistics management in fire response operations. |
Address |
St.Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, St.Petersburg, Russian Federation |
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 |
959 |
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|
|
Author |
Guruprasad Airy; Tracy Mullen; John Yen |
Title |
Market based adaptive resource allocation for distributed rescue teams |
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 |
Information systems; Planning; Adaptive resource allocations; Combinatorial auction; Limited information; Multi agent; Multi-agent planning; Resource assignment; Resource requirements; System's performance; Resource allocation |
Abstract |
The dynamic nature of real-world rescue scenarios (e.g., military, emergency first response, hurricane relief) requires constant reevaluation of resource assignments. New events can trigger additional resource requirements generating conflicts about how to reassign resources across tasks in an emerging crisis. Reallocation is further complicated as some resources are synergistic (i.e., helicopter and pilot) and many distributed rescue teams have limited information about other teams' status. We show how integrating a team-based multi-agent planning system with standard combinatorial auction methods to dynamically re-allocate resources can maximize overall rescue utility while providing for graceful managed degradation under conditions of extreme stress. The key innovation of our approach is that we explicitly provide a framework that incorporates the costs involved in dynamically switching resources from one task to another. We compare our system's performance against two other approaches. |
Address |
Pennsylvania State University, United States |
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 |
Intelligent Systems |
Expedition |
|
Conference |
6th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
259 |
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|
Author |
Hagen Engelmann; Frank Fiedrich |
Title |
DMT-EOC – A combined system for the decision support and training of EOC members |
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 |
Decision making; Decision support systems; Disaster prevention; Disasters; Human computer interaction; Information systems; Multi agent systems; User interfaces; Collapsed buildings; Decision supports; Disaster management; Earthquake disaster; Emergency operations; Naturalistic decision-making; Operation research; Programming interface; Personnel training |
Abstract |
The first hours after a disaster are essential to minimizing the loss of life. The chance for survival in the debris of a collapsed building for example decreases considerably after 72 hours. However the available information in the first hours after a disaster is limited, uncertain and dynamically changing. A goal in the development of the Disaster Management Tool (DMT) was to support the management of this situation. Its module DMT-EOC specifically deals with problems of the members in an emergency operation centre (EOC) by providing a training environment for computer based table top exercises and assistance during earthquake disasters. The system is based on a flexible and extendible architecture that integrates different concepts and programming interfaces. It contains a simulation for training exercises and the evaluation of decisions during disaster response. A decision support implemented as a multi-agent system (MAS) combines operation research approaches and rule-base evaluation for advice giving and criticising user decisions. The user interface is based on a workflow model which mixes naturalistic with analytic decision-making. The paper gives an overview of the models behind the system components, describes their implementation, and the testing of the resulting system. |
Address |
Institute for Technology and Management in Construction, Karlsruhe University, Karlsruhe, Germany; Institute for Crisis, Disaster, and Risk Management, George Washington University, Washington, DC, United States |
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 |
Intelligent Systems |
Expedition |
|
Conference |
6th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
476 |
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|
Author |
Rafael A. Gonzalez |
Title |
Crisis response simulation combining discrete-event and agent-based modeling |
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 |
Architecture; Computational methods; Information systems; Integration testing; Multi agent systems; Agent-based model; Coordination; Crisis response; Discrete events; Environmental model; High level architecture; Simulation model; Simultaneous integration; Discrete event simulation |
Abstract |
This paper presents a crisis response simulation model architecture combining a discrete-event simulation (DES) environment for a crisis scenario with an agent-based model of the response organization. In multi-agent systems (MAS) as a computational organization, agents are modeled and implemented separately from the environmental model. We follow this perspective and submit an architecture in which the environment is modeled as a discreteevent simulation, and the crisis response agents are modeled as a multi-agent system. The simultaneous integration and separation of both models allows for independent modifications of the response organization and the scenario, resulting in a testbed that allows testing different organizations to respond to the same scenario or different emergencies for the same organization. It also provides a high-level architecture suggesting the way in which DES and MAS can be combined into a single simulation in a simple way. |
Address |
Delft University of Technology, Netherlands |
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 |
Intelligent Systems |
Expedition |
|
Conference |
6th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
535 |
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|
|
Author |
Alexander Smirnov; Tatiana Levashova; Andrew Krizhanovsky; Nikolay Shilov; Alexey Kashevnik |
Title |
Self-organizing resource network for traffic accident response |
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 |
Disaster prevention; Disasters; Highway accidents; Information services; Information systems; Network architecture; Semantics; Service oriented architecture (SOA); Context; Self organizations; Semantic similarity; Service-based; Situation modeling; Web services |
Abstract |
Traffic accidents are a common feature of the modern life. The paper proposes an approach addressing response to traffic accidents happened in a smart environment. The idea behind the approach is to self-organize resources of the environment according to the state of the situation caused by the accident. The resources self-organize a collaborative network that comprises physical devices, software services, organizations, and persons. The purpose of the resources is to undertake joint actions for accident response. The disaster response system intended for operating in smart environments has a service-oriented architecture. Some of Web-services making up the architecture are intended to model the accident situations; others model resource functionalities or bear supporting functions. Web-services that model resource functionalities are aligned against the disaster management ontology. This alignment ensures semantic interoperability of the heterogeneous resources. The alignment operation is supported by a tool that identifies similar concepts in the ontology and Web-service descriptions using a machine-readable dictionary. Response to the traffic accident illustrates main ideas described in the paper. |
Address |
St.Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, St.Petersburg, Russian Federation |
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 |
Intelligent Systems |
Expedition |
|
Conference |
6th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
956 |
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|
|
Author |
Gaia Trecarichi; Veronica Rizzi; Lorenzino Vaccari; Maurizio Marchese; Paolo Besana |
Title |
Open Knowledge at work: Exploring centralized and decentralized information gathering in emergency contexts |
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 |
Information management; Information systems; Agent based; Crisis management; Interaction model; Knowledge-sharing; P2P network; Process coordination; Architecture |
Abstract |
Real-world experience teaches us that to manage emergencies, efficient crisis response coordination is crucial. ICT infrastructures are effective in supporting the people involved in such contexts, by supporting effective ways of interaction. They also should provide innovative means of communication and information management. At present, centralized architectures are mostly used for this purpose; however, alternative infrastructures based on the use of distributed information sources, are currently being explored, studied and analyzed. This paper aims at investigating the capability of a novel approach (developed within the European project OpenKnowledge1) to support both centralized and decentralized architectures for information gathering. For this purpose, we developed an agent-based e-Response simulation environment fully integrated with the OpenKnowledge infrastructure and through which existing emergency plans are modelled and simulated. Preliminary results show the OpenKnowledge capability of supporting the two afore-mentioned architectures and, under ideal assumptions, a comparable performance in both cases. |
Address |
University of Trento, Italy; University of Edinburgh, United Kingdom |
Corporate Author |
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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 |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
|
ISSN |
2411-3387 |
ISBN |
9789163347153 |
Medium |
|
Track |
Intelligent Systems |
Expedition |
|
Conference |
6th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
1016 |
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|
Author |
Gerhard Wickler; George Beckett; Liangxiu Han; Sung Han Koo; Stephen Potter; Gavin Pringle; Austin Tate |
Title |
Using simulation for decision support: Lessons learned from FireGrid |
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 acquisition; Information systems; Decision supports; Emergency responders; High-performance computing; Model-based simulations; Sensor data; Time simulations; Decision support systems |
Abstract |
This paper describes some of the lessons learned from the FireGrid project. It starts with a brief overview of the project. The discussion of the lessons learned that follows is intended for others attempting to develop a similar system, where sensor data is used to steer a super-real time simulation in order to generate predictions that will provide decision support for emergency responders. |
Address |
Artificial Intelligence Applications Institute, University of Edinburgh, United Kingdom; EPCC, University of Edinburgh, United Kingdom; NeSC, University of Edinburgh, United Kingdom; SEE, University of Edinburgh, United Kingdom; AIAI, University of Edinburgh, United Kingdom |
Corporate Author |
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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 |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
|
ISSN |
2411-3387 |
ISBN |
9789163347153 |
Medium |
|
Track |
Intelligent Systems |
Expedition |
|
Conference |
6th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
1087 |
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|
Author |
Glenn I. Hawe; Duncan T. Wilson; Graham Coates; Roger S. Crouch |
Title |
STORMI: An agent-based simulation environment for evaluating responses to major incidents in the UK |
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 |
Information systems; Multicore programming; Simulators; Storms; Agent based simulation; Emergency preparedness; Emergency response; Major incidents; Mass casualty incidents; Multi-core processor; Multiple program multiple datum; Work-in-progress; Emergency services |
Abstract |
This paper describes work-in-progress regarding STORMI, an agent-based simulation environment for evaluating the response by the emergency services to hypothetical major incidents in the UK. At present, STORMI consists of two main components: a Scenario Designer and a Simulator. The Scenario Designer enables the setting up of a hypothetical multi-site mass casualty incident anywhere in the UK, along with the resources which may be considered for responding to it. This provides input to the Simulator, which through its Multiple Program Multiple Data architecture, models the agents and their environment at a higher level of detail inside incident sites than it does outside, thus focusing attention on the areas of most interest. Furthermore, the multiple programs of the Simulator execute concurrently, thus targeting multi-core processors. © 2012 ISCRAM. |
Address |
School of Engineering and Computing Sciences, Durham University, Durham, United Kingdom |
Corporate Author |
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Thesis |
|
Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
|
Track |
Intelligent Systems |
Expedition |
|
Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
124 |
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Author |
Van Tuan Le; Serge Stinckwich; Noury Bouraqadi; Arnaud Doniec |
Title |
Role-based dynamic coalitions of multi-tasked rescue robots |
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 |
Human resource management; Information systems; Robotics; Dynamic coalitions; Multirobot systems; Rescue robot; Rescue robotics; Role allocation; Role-based; Search and Rescue Robotics; Team coordination; Robots |
Abstract |
Organizations allow structuring and coordinating the activities of robots that take part in a multi-robot system (MRS). Within a given organization, each robot is assigned to a role that governs its behavior and its interactions with the other members of the MRS. In this paper; we investigate in a class of problems where role allocation must be done dynamically. This applies, for example in the context of rescue robotic applications where neither the number of robots nor characteristics are known a priori. Furthermore, tasks to be performed are not necessarily all known or at least a portion of the information remains to be discovered (e.g. locations of victims). Finally, some robots may temporarily leave the MRS (for battery recharging) or permanently due to failure or breakage. We propose a solution that can dynamically allocate roles to robots and revise the allocation. This revision takes place in case of failure of agents or in case of discovery of a new task. This allocation allows agents to participate in several tasks. © 2012 ISCRAM. |
Address |
Université de Lille-Nord de France, Ecole des Mines de Douai, France; UMMISCO, UMI 209, Hanoi, Viet Nam; GREYC, UMR 6072, Caen, France |
Corporate Author |
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Thesis |
|
Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
|
Track |
Intelligent Systems |
Expedition |
|
Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
152 |
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|
|
Author |
Axel Schulz; Heiko Paulheim; Florian Probst |
Title |
Crisis information management in the Web 3.0 age |
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 |
Information management; Information systems; Risk management; World Wide Web; Crowdsourcing; Emergency management; Linked open datum; Participatory Sensing; Social media; Data handling |
Abstract |
The effectiveness of emergency response largely depends on having a precise, up-to-date situational picture. With the World Wide Web having evolved from a small read-only text collection to a large-scale collection of socially created data accessible both to machines and humans alike, with the advent of social media and ubiquitous mobile applications, new sources of information are available. Currently, that potentially valuable information remains mostly unused by the command staff, mainly because the sheer amount of information cannot be handled efficiently. In this paper, we show an approach for turning massive amounts of unstructured citizen-generated content into relevant information supporting the command staff in making better informed decisions. We leverage Linked Open Data and crowdsourcing for processing data from social media, and we show how the combination of human intelligence in the crowd and automatic approaches for enhancing the situational picture with Linked Open Data will lead to a Web 3.0 approach for more efficient information handling in crisis management. © 2012 ISCRAM. |
Address |
Technische Universität, Darmstadt, Germany; SAP Research, Germany |
Corporate Author |
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Thesis |
|
Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
|
ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
|
Track |
Intelligent Systems |
Expedition |
|
Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
203 |
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|
|
Author |
Huizhang Shen; Jingwen Hu; Jidi Zhao; Jing Dong |
Title |
Ontology-based modeling of emergency incidents and crisis management |
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 |
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Keywords |
Artificial intelligence; Database systems; Decision support systems; Information systems; Ontology; Reusability; Risk management; Semantics; Crisis management; Crisis response; Decision supports; Emergency Decision-making; Emergency Incidents; Emergency management systems; Emergency response; Relational Database; Information management |
Abstract |
With the frequent occurrence of emergency incidents in recent years, developing intelligent and effective decision support systems for emergency response and management is getting crucial to the government and public administration. Prior research has made many efforts in constructing crisis databases over the decades. However, existing emergency management systems built on top of these databases provide limited decision support capabilities and are short of information processing and reasoning. Furthermore, ontology based on logic description and rules has more semantics description capability compared to traditional relational database. Aiming to extend existing studies and considering ontology's reusability, this paper presents an approach to build ontology-based DSSs for crisis response and management. © 2012 ISCRAM. |
Address |
Department of Management Information Systems, Shanghai Jiao Tong University, Shanghai, 200052, China; Department of Public Administration, East China Normal University, Shanghai, 200062, China |
Corporate Author |
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Thesis |
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Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
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Track |
Intelligent Systems |
Expedition |
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Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
206 |
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