Managing COVID-19 Crisis using C3HIS Ontology

Sayeb, Yemna; Jebri, Marwa; Ghezala, Henda Ben

doi:10.1016/j.procs.2021.01.308

Cited by 8 publications

(4 citation statements)

References 12 publications

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“…Finally, the C3HIS ontology has been proposed in [154] as a part of a web-based solution for the COVID-19 Crisis Health Care Information System. The authors suggested this ontology to help in managing the crisis in a hospital, prioritizing the COVID-19 services, taking into account the limited resources, professionals working with masks.…”

Section: Resultsmentioning

confidence: 99%

Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19

et al. 2023

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Section: Resultsmentioning

confidence: 99%

Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19

et al. 2023

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“…A relationship is the creation of a combination of two or more concepts of an objective relating to data structuring and the completion of action [26]. While some conceptual connections can be expressed using the properties held by concepts, others must be represented using independent relationships [27]. The proposed solution includes some relationships that work together in a conceptual data model (Table 4).…”

Section: Solution Relationshipsmentioning

confidence: 99%

Development of an Ontology-Based Solution to Reduce the Spread of Viruses

et al. 2022

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With the sudden emergence of many dangerous viruses in recent years and with their rapid transmission and danger to individuals, most countries have adopted several strategies, such as closure and social distancing, to control the spread of the virus in the population. In parallel with all these precautions, scientific laboratories are working on developing the appropriate vaccine, which in many cases takes many years. Until then, it is necessary to resort to many solutions, including solutions that rely on information technologies and artificial intelligence (AI). In this context, this paper proposes a new solution based on the ontology and rules of intelligent reasoning. Initially, the virus environment is analyzed, followed by the extraction and editing of the main elements of the ontology using the “Protégé” software. In the last step, the proposed solution is tested, by choosing the city of Adrar in southwestern Algeria, which was particularly affected by COVID-19. Three scenarios were shown for different cases. The efficiency of the proposed solution was confirmed through the instructions it provides in the event of symptoms appearing in a person. In addition, this solution helps the competent authorities know the location and extent of the epidemic by informing the local communities.

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“…In addition, the use of formal semantics is essential for explicit, sharable, and reusable knowledge representation. (Yanga, Cormican, & Yu, 2019) For purposes of illustration, some example ontologies are: educational ontologies, ontologies for cultural heritage data, ontologies for mythology like the Greek one (Syamili & Rekha, 2017), agriculture ontologies, cybersecurity ontologies, biomedical ontologies such as the ontology on genetic disease (Iqtidar, Muzaffar, Qamar, & Rehman, 2017), ontology for diseases of the spine (Lee, Lee, Seo, Yoo, & Kim, 2015); as well as diagnostic ontologies such as ontologies for predictions -like COVID-19 cases, or ontologies for managing the COVID-19 crisis (Sayeb, Jebri, & Ghezala, 2021), and so on.…”

Section: Ontologies In Informatics: a State-of-the-art Reviewmentioning

confidence: 99%