Application of category theory

Mendonça, Maribel; Aguilar, José; Perozo, Niriaska

doi:10.3166/isi.23.2.11-38

Cited by 2 publications

(1 citation statement)

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“…Thus, one of the possible challenges is to enrich the ontologies with information from the different contexts involved, with the help of Linked Data and Natural Language Processing techniques for the extraction and population of the ontological model. Some formal schemes have been developed [ 35 ], which allow automating this enrichment process of ontologies, which could be considered. Also, using approaches based on context ontologies [ 31 , 32 ] is another alternative approach.…”

Section: Discussionmentioning

confidence: 99%

Ontological engineering for the definition of a COVID-19 pandemic ontology

González-Eras

Santos

Aguilar

et al. 2022

Informatics in Medicine Unlocked

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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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Section: Discussionmentioning

confidence: 99%