An Internet of Things ontology for earthquake emergency evaluation and response

Spalazzi, Luca; Taccari, Gilberto; Bernardini, Andrea

doi:10.1109/cts.2014.6867619

Cited by 34 publications

(17 citation statements)

References 17 publications

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“…After an earthquake, it is important to manage the emergency. In the work of Spalazzi et al, an ontology to model knowledge about sensors and actuator networks for earthquake emergency is designed starting from SSN. The goal is to show how the developed ontology can be effectively used to model the earthquake emergencies domain.…”

Section: Related Workmentioning

confidence: 99%

IoT and semantic web technologies for event detection in natural disasters

Greco

Ritrovato

Tiropanis

et al. 2018

Concurrency and Computation

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Summary Natural disasters cannot be predicted well in advance, but it is still possible to decrease the loss of life and mitigate the damages, exploiting some peculiarities that distinguish them. Smart collection, integration, and analysis of data produced by distributed sensors and services are key elements for understanding the context and supporting decision making process for disaster prevention and management. In this paper, we demonstrate how Internet of Things and Semantic Web technologies can be effectively used for abnormal event detection in the contest of an earthquake. In our proposal, a prototype system, which retrieves the data streams from IoT sensors and web services, is presented. In order to contextualize and give a meaning to the data, semantic web technologies are applied for data annotation. We evaluate our system performances by measuring the response time and other parameters that are important in a disaster detection scenario.

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Section: Related Workmentioning

confidence: 99%

IoT and semantic web technologies for event detection in natural disasters

Greco

Ritrovato

Tiropanis

et al. 2018

Concurrency and Computation

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“…In an effort to provide a similar model for actuators, the SAN ontology 5 was developed. Both ontologies were applied for example in [19] to provide a complete IoT ontology.…”

Section: Requirements For Situation Models To Support Reasoningmentioning

confidence: 99%

Enriching a Situation Awareness Framework for IoT with Knowledge Base and Reasoning Components

Kolbe

Zaslavsky

Kubler

et al. 2017

Lecture Notes in Computer Science

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Abstract. The importance of system-level context-and situation awareness increases with the growth of the Internet of Things (IoT). This paper proposes an integrated approach to situation awareness by providing a semantically rich situation model together with reliable situation inference based on Context Spaces Theory (CST) and Situation Theory (ST). The paper discusses benefits of integrating the proposed situation awareness framework with knowledge base and efficient reasoning techniques taking into account uncertainty and incomplete knowledge about situations. The paper discusses advantages and impact of proposed context adaptation in dynamic IoT environments. Practical issues of two-way mapping between IoT messaging standards and CST are also discussed.

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“…An energy efficient architecture using ad hoc wireless sensor network for locating thousands of people in earthquakes is presented in (Ahmad et al 2011). Domain ontology is defined for the earthquake scenario by adding domain related concepts to IoT ontology (Spalazzi et al 2014). Further the authors compare this work with other works in which ontology is used to formally describe things.…”

Section: Related Workmentioning

confidence: 99%

Formal model of earthquake disaster mitigation and management system

Zafar

Afzaal

2017

Complex Adapt Syst Model

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Background Wireless sensor and actor networks (WSANs) consist of sensors and actors connected through wireless medium. In the network, sensors are used to sense complex events in an environment and actors take intelligent decisions and perform actions as required. Sensors are cheap devices which have low power batteries, slow processing capabilities and short communication range as compared to actors which are more expensive and powerful in terms of resources. It is noted that actors are capable of sensing the environment but sensors do not have ability to perform any action (Akyildiz and Kasimoglu 2004). As an example from military defence system, sensors detect enemy troops and report to actors which destroy the troops by coordinating with each other. For an effective monitoring and decision making, there must be a continuous sensor-sensor, sensor-actor and actor-actor communication to perform an appropriate action whenever

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An Internet of Things ontology for earthquake emergency evaluation and response

Cited by 34 publications

References 17 publications

IoT and semantic web technologies for event detection in natural disasters

IoT and semantic web technologies for event detection in natural disasters

Enriching a Situation Awareness Framework for IoT with Knowledge Base and Reasoning Components

Formal model of earthquake disaster mitigation and management system

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