Handling effective communication to support awareness in rescue operations

Chehade, Samer; Matta, Nada; Pothin, Jean‐Baptiste; Cogranne, Rémi

doi:10.1111/1468-5973.12317

Cited by 8 publications

(6 citation statements)

References 15 publications

(21 reference statements)

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“…The metamodel is applied specifically in the context of crisis management and is structured around four interrelated dimensions: context, partners, objectives, and behavior. Chehade et al 39 propose an ontology called ResOnt that aims to support situation awareness and communication in rescue operations. ResOnt helps ensure a shared understanding of the situation between different stakeholders involved in the rescue operation, including actors, organizations, tasks, and materials.…”

Section: Related Workmentioning

confidence: 99%

Ontology-based crisis simulation system for population sheltering management

Zhong,

Ngoc,

Negre

et al. 2023

SIMULATION

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Climate change has led to an increase in the frequency and intensity of natural disasters, necessitating the development of efficient crisis management strategies for population sheltering. However, existing research on this topic primarily focuses on the use of public resources such as ambulances and fire trucks, which may sometimes be insufficient due to high demand and impacted locations, worsening the shortage of resources. This research introduces an ontology-based crisis simulation system for population sheltering management that focuses on the integration and distribution of citizen–volunteer drivers/vehicles into the evacuation process. Recognizing the limitations of public resources in current crisis management models, our approach incorporates citizen resources to enhance overall evacuation capacity. We develop an ontology to standardize crisis management knowledge, frame vehicle distribution as a recommendation problem, and design a simulation module incorporating a constraint-based recommender system. The proposed scenario illustrates how the simulation system can recommend citizen resources during crisis situations by considering the constraints to be satisfied. With our system, we aim at helping stakeholders to be prepared for various disaster scenarios: optimizing resource allocation and reducing time to make decisions by decision-makers.

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Section: Related Workmentioning

confidence: 99%

Ontology-based crisis simulation system for population sheltering management

Zhong,

Ngoc,

Negre

et al. 2023

SIMULATION

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“…The last issue concerns communication [31,32] and information sharing [33] during emergencies. Both are considered as relevant issues in crisis management [34].…”

Section: Issues For Crisis Managementmentioning

confidence: 99%

“…ResOnt is an ontology [32] that reuses existing emergency management and upper level ontologies to represent the abstract (e.g., tasks and phases) and material entities (e.g., hazardous materials) involved in an emergencies to the purpose of supporting information exchange between rescue operators.…”

Section: Ontologies For Crisis Managementmentioning

confidence: 99%

Smart City Ontologies and Their Applications: A Systematic Literature Review

Nicola

Villani

2021

Sustainability

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The increasing interconnections of city services, the explosion of available urban data, and the need for multidisciplinary analysis and decision making for city sustainability require new technological solutions to cope with such complexity. Ontologies have become viable and effective tools to practitioners for developing applications requiring data and process interoperability, big data management, and automated reasoning on knowledge. We investigate how and to what extent ontologies have been used to support smart city services and we provide a comprehensive reference on what problems have been addressed and what has been achieved so far with ontology-based applications. To this purpose, we conducted a systematic literature review finalized to presenting the ontologies, and the methods and technological systems where ontologies play a relevant role in shaping current smart cities. Based on the result of the review process, we also propose a classification of the sub-domains of the city addressed by the ontologies we found, and the research issues that have been considered so far by the scientific community. We highlight those for which semantic technologies have been mostly demonstrated to be effective to enhance the smart city concept and, finally, discuss in more details about some open problems.

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“…While communication is obviously an important aspect of crisis informatics, in the second paper of this section, Handling Effective Communication to Support Awareness in Rescue Operations, (Chehade, Matta, Pothin, & Cogranne, 2020) address the communication-related issues to support situation awareness in daily rescue operations. In fact, the process of achieving a common operational picture needs the collaboration and coordination between different organizations and agencies.…”

Section: Ontolog I C Al Approache S For Cris Is Manag Ementmentioning

confidence: 99%

“…While communication is obviously an important aspect of crisis informatics, in the second paper of this section, Handling Effective Communication to Support Awareness in Rescue Operations, (Chehade, Matta, Pothin, & Cogranne, 2020) Risk assessment is not useful if it cannot be used to improve preparedness. In the last paper, Improving Emergency Preparedness to Cascading Disasters: a Case-Driven Risk Ontology Modelling, (Yu & Li, 2020) address cascading disaster risks, which have become the main threat to urban critical infrastructures and communities.…”

Section: Ontolog I C Al Approache S For Cris Is Manag Ementmentioning

confidence: 99%

Knowledge, semantics and AI for risk and crisis management

Nicola

António

Karray

et al. 2020

Contingencies & Crisis Mgmt

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Experience and big amount of data are generated and used in risk and crisis management. Structuring the volume of data and learning from them are still big challenges to be faced to help actors either in decision-making or in operations. Data collection, for instance, is an important aspect, and sometimes, there can be overemphasis on using raw social media data for crisis informatics without adopting appropriate methodologies for cleaning the data and ensuring it is applicable to the situation at hand (i.e. assessing topical relevance). In recent years, this has become even more important with growing recognition that bots can often wield undue influence in social media, especially Twitter. Several techniques have been developed in the last years in Artificial Intelligence (AI) study and Computer Supported Cooperative Work (CSCW) that can be applied to face these challenges. The combination of these tools and methods continue to show promising results in improving sharing of information in crisis and emergency contexts.There are many approaches of AI, such as neural networks and ontologies that can be used to support risk and crisis management.Machine learning, in particular, is an approach that gives "computers the ability to learn without being explicitly programmed" by learning from and making predictions from data. Also, the use of symbolic AI approaches, like ontologies as a knowledge representation mechanism, offers many advantages in information retrieval and analysis.In addition, semantic models of knowledge allow users as well as systems to clearly understand what is happening in a crisis situation and can provide support to decision makers. This special issue mainly addresses the application of semantic models and AI methods and tools trying to answer to users' needs in the scope of risk management, crisis response, prediction, modelling and mitigation. According to a policy forum article in Science in 2016, (Palen & Anderson, 2016) describe crisis informatics as a "multidisciplinary field combining computing and social science knowledge of disasters." The special issue covers a broad range of topics that fall within, and even expand the scope of, crisis informatics. The articles are particularly timely today, as the world grapples with the COVID-19 pandemic that has resulted in hundreds of thousands of deaths, and millions of infections. Although this issue was prepared before the COVID-19 crisis struck, many of the individual topics covered by an international set of authors are highly relevant to the situation unfolding before our eyes.

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Handling effective communication to support awareness in rescue operations

Cited by 8 publications

References 15 publications

Ontology-based crisis simulation system for population sheltering management

Ontology-based crisis simulation system for population sheltering management

Smart City Ontologies and Their Applications: A Systematic Literature Review

Knowledge, semantics and AI for risk and crisis management

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