SEMA4A: An ontology for emergency notification systems accessibility

Malizia, Alessio; Onorati, Teresa; Dı́az, Paloma; Aedo, Ignacio; Astorga-Paliza, F.

doi:10.1016/j.eswa.2009.10.010

Cited by 74 publications

(42 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Neither do we have an existing theoretical model to help understand the motivation inducing or resilience strengthening capacities of warning messages with these new tools. So, this study is also identifying psychological, communicative and behavioral reactions that are assumed to be important for understanding and predicting public behavior after an emergency warning (Malizia et al 2010).…”

Section: Conceptual Approachmentioning

confidence: 99%

Citizens’ adaptive or avoiding behavioral response to an emergency message on their mobile phone

Gutteling

Terpstra²,

Kerstholt

2017

Journal of Risk Research

View full text Add to dashboard Cite

Since November 2012, Dutch civil defense organizations employ NL-Alert, a cellular broadcast-based warning system to inform the public. Individuals receive a message on their mobile phone about the actual threat, as well as some advice how to deal with the situation at hand. This study reports on the behavioral effects of NL-Alert (n = 643). The current risk communication literature suggested underlying mechanisms as perceived threat, efficacy beliefs, social norms, information sufficiency, and perceived message quality. Results indicate that adaptive behavior and behavioral avoidance can be predicted by subsets of these determinants. Affective and social predictors appear to be more important in this context that socio-cognitive predictors. Implications for the use of cellular broadcast systems like NL-Alert as a warning tool in emergency situations are discussed.

show abstract

Section: Conceptual Approachmentioning

confidence: 99%

Citizens’ adaptive or avoiding behavioral response to an emergency message on their mobile phone

Gutteling

Terpstra²,

Kerstholt

2017

Journal of Risk Research

View full text Add to dashboard Cite

show abstract

“…In particular, for representing adequately the civil engineering and architecture domains, we have collected several handbooks from GoogleBooks 1 . For the emergency domain, we have considered the same corpus used for the quantitative evaluation of SEMA4A (Malizia et al, 2010). This corpus consists of several research contributions already published in the Proceedings of the International Conference on Information Systems for Crisis Response and Management (ISCRAM).…”

Section: Knowledge Acquisitionmentioning

confidence: 99%

“… In order to ensure that each person involved in the simulation could find the notified information useful for escaping and reaching a safety point, NERES had also to infer from SEMA4A the Web accessibility guidelines specific for the Novice Expertise (see Figure 6). The queried guidelines have been collected from the AccessOnto ontology (Malizia et al, 2010). They refer to an effective and minimalist learning process (CG_24 and CG_25) and a minimum number of steps to perform for completing the tasks and making decisions (CG_26).…”

Section: Use Casementioning

confidence: 99%

Modeling an ontology on accessible evacuation routes for emergencies

Onorati

Malizia

Dı́az

et al. 2014

Expert Systems with Applications

Self Cite

View full text Add to dashboard Cite

Abstract. Providing alert communication in emergency situations is vital to reduce the number of victims. However, this is a challenging goal for researchers and professionals due to the diverse pool of prospective users, e.g. people with disabilities as well as other vulnerable groups. Moreover, in the event of an emergency situation, many people could become vulnerable because of exceptional circumstances such as stress, an unknown environment or even visual impairment (e.g. fire causing smoke).Within this scope, a crucial activity is to notify affected people about safe places and available evacuation routes. In order to address this need, we propose to extend an ontology, called SEMA4A (Simple EMergency Alert 4 [for] All), developed in a previous work for managing knowledge about accessibility guidelines, emergency situations and communication technologies. In this paper, we introduce a semi-automatic technique for knowledge acquisition and modeling on accessible evacuation routes. We introduce a use case to show applications of the ontology and conclude with an evaluation involving several experts in evacuation procedures.

show abstract

“…tsunamis, hurricanes or terrorist attacks). The proposals range from those focused on the communication and notification [14], [15], [16], [17], [18], [19] to those focused on information management, resource allocation and decision making [20], [21]. Some examples of these systems are CATS [22], OpenGIS [23], DERMIS [24], Sahana [25], DUMBONET and Eplan [26].…”

Section: Disaster Management Domainmentioning

confidence: 99%

MAS coordination strategies and their application in disaster management domain

Singh

Modanwal

Basak

2011

2011 2nd International Conference on Intelligent Agent &Amp; Multi-Agent Systems

View full text Add to dashboard Cite

-Multi-agent System (MAS) formulations have been developed and explored in the past in a variety of domains, ranging from optimization problems to game theory. However, there are certain issues that are common across all the domains. Cooperation and coordination of agents in MAS is one such important area. In this paper, we have first presented a very brief survey characterizing the cooperation and coordination strategies that have been frequently used. Thereafter the paper progresses to explore the applicability of MAS formulations in disaster management domain. We have identified the characteristics and requirements of disaster management domain; described the ways in which MAS formulations can be used in this domain; and presented the preliminary results of our simulation experiment of a greedy approach to disaster recovery.

show abstract

SEMA4A: An ontology for emergency notification systems accessibility

Cited by 74 publications

References 21 publications

Citizens’ adaptive or avoiding behavioral response to an emergency message on their mobile phone

Citizens’ adaptive or avoiding behavioral response to an emergency message on their mobile phone

Modeling an ontology on accessible evacuation routes for emergencies

MAS coordination strategies and their application in disaster management domain

Contact Info

Product

Resources

About