Information Conceptualization for Emergency Management

Mejri, Ouejdane

doi:10.1007/978-3-642-22760-8_7

Cited by 5 publications

(4 citation statements)

References 4 publications

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“…It emerges a complex scenario where a large amount of data has to be processed and combined in order to better manage the emergency. For this purpose, several works propose the use of ontologies to add semantic information to data and processes involved in the emergency management activities [19], [20]. Despite that, the majority of them does not consider sensors and actuators in the domain ontologies.…”

Section: Related Workmentioning

confidence: 99%

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An Internet of Things ontology for earthquake emergency evaluation and response

Spalazzi

Taccari

Bernardini

2014

2014 International Conference on Collaboration Technologies and Systems (CTS)

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Recent years have seen the fast-diffusion of internetconnected devices and the rise of the Internet of Things (IoT) research and application area. Research works are dealing with technologies that enable the so-called things to communicate among them and with users in order to provide data and/or accomplish tasks. This scenario is posing several challenges so that more and more researchers are dealing with them. Our work deals with the definition of both machine and human understandable descriptions of things by means of ontologies in order to enable the collaboration among physical objects and IT systems. Indeed, recent works highlighted how the IoT technology may be profitably used in several scenarios in order to accompish complex tasks where physical objects are active participants. First, we extend the Semantic Sensor Network ontology defined by the W3C Semantic Sensor Networks Incubator Group with concepts and roles that describe actuators. This leads to the definition of a comprehensive Internet of Things ontology. Then, with the support from domain experts, we analyze the earthquake emergency scenario in order to define for it a domain ontology by means of adding domain-related concepts to the IoT ontology. Furthermore, we compare our work with others that use ontologies to formally describes things.

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Section: Related Workmentioning

confidence: 99%

“…Several works deal with the use of semantics in the emergency management fields (e.g., see [19], [20]). Nevertheless, they usually do not focus on "things" that are involved in the emergency domain.…”

Section: The Iot Earthquake Ontologymentioning

confidence: 99%

An Internet of Things ontology for earthquake emergency evaluation and response

Spalazzi

Taccari

Bernardini

2014

2014 International Conference on Collaboration Technologies and Systems (CTS)

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“…It is conventional to define the disaster management cycle as the sequence of the activities of preparedness, response, recovery/reconstruction, and mitigation [5]. From a data management perspective, this implies to consider data production and use in its entirety as a unique workflow [39]. In other words, data management can be considered as a sequence of connected activities enabled by a structured organization of resources, defined roles and information flows, pertaining to an effort that can be documented and learnt [27].…”

Section: Planning For the Reconstruction Of Urban Systems: Knowledge ...mentioning

confidence: 99%

“…In other words, data management can be considered as a sequence of connected activities enabled by a structured organization of resources, defined roles and information flows, pertaining to an effort that can be documented and learnt [27]. Within this angle, it can be proposed that a significant part of the information created and used in the disaster management cycle is common to its consecutive phases [39]. An evident example is the use of available emergency planning information to manage the crisis, and vice versa, the use of crisis information as lessons learnt to feed planning for the next crisis.…”

Section: Planning For the Reconstruction Of Urban Systems: Knowledge ...mentioning

confidence: 99%

Crisis information to support spatial planning in post disaster recovery

Mejri

Menoni

Matias

et al. 2017

International Journal of Disaster Risk Reduction

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A semantic‐based federated cloud system for emergency response

Manno¹,

Smari²,

Spalazzi

et al. 2014

Concurrency and Computation

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SummaryCloud federation can be described through the concept of collaboration, where each organization has its own cloud(s) that deals with a different and independent domain but needs to work together with other organizations in order to fulfill a specific shared objective. According to this perspective, the federation is a collection of interacting clouds that collaborate with one another through the instantiation and management of shared subsets of resources (computation and storage resources as well as sensors and actuators). This idea could be profitably used in those scenarios in which different organizations have to share several resources (e.g., emergency response or disaster management scenario). On the other hand, when different independent organizations share their resources, several issues arise. One of them is related to interoperability problems. As a consequence, this work also introduces a framework for an ontology‐based resource life cycle management and provisioning in a federated cloud infrastructure. Therefore, The main contributions of this work consists of redesigning a cloud infrastructure architecture from the ground up, leveraging Semantic Web and Semantic Web Service Technologies, and natively supporting a federated provisioning of any kind of resource. This paper exploits, as a motivating scenario, a flood emergency response system. Copyright © 2014 John Wiley & Sons, Ltd.

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Information Conceptualization for Emergency Management

Cited by 5 publications

References 4 publications

An Internet of Things ontology for earthquake emergency evaluation and response

An Internet of Things ontology for earthquake emergency evaluation and response

Crisis information to support spatial planning in post disaster recovery

A semantic‐based federated cloud system for emergency response

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