Ontology-Driven Conceptual Modeling for Early Warning Systems: Redesigning the Situation Modeling Language

Moreira, João Luiz Rebelo; Pires, Luís Ferreira; Sinderen, Marten van; Costa, Paolo

doi:10.5220/0006208904670477

Cited by 6 publications

(4 citation statements)

References 12 publications

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“…An effective early warning system for emergencies is a service to humanity because the intended population can take precautionary safety measures if they are aware of the crisis well in time. Moreira et al [26] proposed an ontology-based EWS for alerting of distress. The study aims to develop an epidemiological surveillance EWS for the detection of infectious disease outbreaks in an area.…”

Section: Notable Research Gapsmentioning

confidence: 99%

A Semantic Ontology for Disaster Trail Management System

Ahmad¹,

Othman²,

Fauzan³

et al. 2019

IJACSA

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Disasters, whether natural or human-made, leave a lasting impact on human lives and require mitigation measures. In the past, millions of human beings lost their lives and properties in disasters. Information and Communication Technology provides many solutions. The issue of so far developed disaster management systems is their inefficiency in semantics that causes failure in producing dynamic inferences. Here comes the role of semantic web technology that helps to retrieve useful information. Semantic web-based intelligent and self-administered framework utilizes XML, RDF, and ontologies for a semantic presentation of data. The ontology establishes fundamental rules for data searching from the unstructured world, i.e., the World Wide Web. Afterward, these rules are utilized for data extraction and reasoning purposes. Many disaster-related ontologies have been studied; however, none conceptualizes the domain comprehensively. Some of the domain ontologies intend for the precise end goal like the disaster plans. Others have been developed for the emergency operation center or the recognition and characterization of the objects in a calamity scene. A few ontologies depend on upper ontologies that are excessively abstract and are exceptionally difficult to grasp by the individuals who are not conversant with theories of the upper ontologies. The present developed semantic web-based disaster trail management ontology almost covers all vital facets of disasters like disaster type, disaster location, disaster time, misfortunes including the causalities and the infrastructure loss, services, service providers, relief items, and so forth. The objectives of this research were to identify the requirements of a disaster ontology, to construct the ontology, and to evaluate the ontology developed for Disaster Trail Management. The ontology was assessed efficaciously via competency questions; externally by the domain experts and internally with the help of SPARQL queries.

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Section: Notable Research Gapsmentioning

confidence: 99%

A Semantic Ontology for Disaster Trail Management System

Ahmad¹,

Othman²,

Fauzan³

et al. 2019

IJACSA

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“…Uma aplicação sensível a situações requer, em tempo de projeto, suporte para especificar os tipos de situação e para implementar um mecanismo de identificação de situações. Em tempo de execução ("runtime"), a aplicação deve processar (detectar e manter) dados contextuais relacionados aos tipos de situação (Moreira et al, 2015).…”

Section: Fundamentos E Trabalhos Relacionadosunclassified

Qualidade de Informação de Sensores para Gerenciamento de Situações: um estudo de caso em monitoramento térmico

Amaral¹,

Jagi²,

Filho³

et al. 2017

Anais Do Simpósio Brasileiro De Computação Ubíqua E Pervasiva (SBCUP)

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A computação ubíqua e pervasiva permite que aplicações de monitoramento sensíveis ao contexto utilizem redes de sensores como fontes de dados, acoplando o mundo físico ao mundo da informação. Antes de serem consumidos, a qualidade dos dados coletados precisa ser avaliada. Com base nessa avaliação, a aplicação pode decidir pelo descarte ou uso dos dados para a detecção de situações de interesse, as quais podem variar ao longo do tempo e de acordo com o domínio da aplicação. Neste artigo, apresentamos uma arquitetura para aplicações de monitoramento com suporte integrado à qualidade da informação e gestão de situações de interesse. A validação dessa arquitetura é descrita com estudo de caso em monitoramento térmico.

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“…The coronavirus outbreak in 2020 was not the first time that epidemic risk was discussed and studied. It has been analyzed for a number of years, for example, how to detect emergency situations and epidemic threats and alert people of them [8], or summarizing country-specific epidemiological maps and measures for the control of tropical diseases [9]. Other associated problems that might cause epidemic outbreaks have also been analyzed and discussed, such as the quality of drinking water [10].…”

Section: Introductionmentioning

confidence: 99%

Project and Prototype of Mobile Application for Monitoring the Global COVID-19 Epidemiological Situation

Sawik

Płonka

2022

IJERPH

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The purpose of this research is to analyze currently available solutions that help to monitor the global epidemiological situation, including travel restrictions, as well as proposing a new solution dedicated to users who want to keep updated with the current restrictions and COVID-19-related statistics. The analysis of existing tools is prepared from the perspective of practical usability for the end user. This paper consists of an overview of the tools and techniques of data visualization and demonstrates how to integrate them with practical business usage in a mobile application.

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Ontology-Driven Conceptual Modeling for Early Warning Systems: Redesigning the Situation Modeling Language

Cited by 6 publications

References 12 publications

A Semantic Ontology for Disaster Trail Management System

A Semantic Ontology for Disaster Trail Management System

Qualidade de Informação de Sensores para Gerenciamento de Situações: um estudo de caso em monitoramento térmico

Project and Prototype of Mobile Application for Monitoring the Global COVID-19 Epidemiological Situation

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