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The COVID-19 Ontology

 
: Sargsyan, Astghik; Kodamullil, Alpha Tom; Baksi, Shounak; Darms, Johannes; Madan, Sumit; Gebel, Stephan; Keminer, Oliver; Jose, Geena Mariya; Balabin, Helena; DeLong, Lauren Nicole; Kohler, Manfred; Jacobs, Marc; Hofmann-Apitius, Martin

:
Fulltext urn:nbn:de:0011-n-6189005 (185 KByte PDF)
MD5 Fingerprint: 762b36c3663e352b31071d0345573f40
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Created on: 9.1.2021


Bioinformatics (2020), Online First, Art. btaa1057, 2 pp.
ISSN: 1367-4803
ISSN: 1460-2059
ISSN: 1367-4811
Fraunhofer-Gesellschaft FhG
MAVO
English
Journal Article, Electronic Publication
Fraunhofer SCAI ()
interoperability; ontology and terminology; semantic integration; semantic interoperability; semantic search; text mining

Abstract
Motivation
The COVID-19 pandemic has prompted an impressive, worldwide response by the academic community. In order to support text mining approaches as well as data description, linking and harmonization in the context of COVID-19, we have developed an ontology representing major novel coronavirus (SARS-CoV-2) entities. The ontology has a strong scope on chemical entities suited for drug repurposing, as this is a major target of ongoing COVID-19 therapeutic development.
Results
The ontology comprises 2.270 classes of concepts and 38.987 axioms (2622 logical axioms and 2434 declaration axioms). It depicts the roles of molecular and cellular entities in virus-host interactions and in the virus life cycle, as well as a wide spectrum of medical and epidemiological concepts linked to COVID-19 . The performance of the ontology has been tested on Medline and the COVID-19 corpus provided by the Allen Institute.
Availability
COVID-19 Ontology is released under a Creative Commons 4.0 License and shared via https://github.com/covid-19-ontology/covid-19. The ontology is also deposited in BioPortal at https://bioportal.bioontology.org/ontologies/COVID-19.

: http://publica.fraunhofer.de/documents/N-618900.html