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Ontological engineering for the definition of a COVID-19 pandemic ontology.
González-Eras, Alexandra; Santos, Ricardo Dos; Aguilar, Jose; Lopez, Alberto.
Afiliação
  • González-Eras A; CEMISID, Facultad de Ingeniería- Universidad de Los Andes, 5101, Mérida, Venezuela.
  • Santos RD; Departamento de Ciencias de la Computación y Electrónica - Universidad Técnica Particular de Loja, Cdla. Universitaria San Cayetano Alto, 1101608, Loja, Ecuador.
  • Aguilar J; Tepuy R+D Group. Artificial Intelligence Software Development. Mérida, Venezuela.
  • Lopez A; CEMISID, Facultad de Ingeniería- Universidad de Los Andes, 5101, Mérida, Venezuela.
Inform Med Unlocked ; 28: 100816, 2022.
Article em En | MEDLINE | ID: mdl-34934805
COVID-19 has generated a lot of information in different formats, and one of them is in the ontology format. Also, there are previous ontologies from other disciplines that can help to analyze the COVID-19 pandemic. Thus, due to the large quantity of COVID-19 information in the form of ontologies, approaches to ontology integration and interoperability could be beneficial. In this context, this research proposes a new ontology, called COVID-19 Pandemic ontology, which is the product of an ontological engineering process proposed in this research that allows the integration of several ontologies to cover all the aspects of this infectious disease. The ontological engineering process defines tasks of fusion, alignment, and linking for integrating the ontologies. The resulting pandemic ontology provides a simple repository for storing information about the COVID-19, reusing existing ontologies, to offer multiple views about the disease, including the social context. This ontology has been tested in different case studies to prove its capabilities to infer useful information about the COVID-19 pandemic.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Inform Med Unlocked Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Venezuela País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Inform Med Unlocked Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Venezuela País de publicação: Reino Unido