COVoc and COVTriage: novel resources to support literature triage

Author:

Caucheteur Déborah12ORCID,May Pendlington Zoë3,Roncaglia Paola3,Gobeill Julien12ORCID,Mottin Luc124ORCID,Matentzoglu Nicolas35,Agosti Donat16,Osumi-Sutherland David3ORCID,Parkinson Helen3,Ruch Patrick12

Affiliation:

1. SIB Text Mining Group, Swiss Institute of Bioinformatics , Geneva 1206, Switzerland

2. BiTeM Group, Information Sciences, HES-SO/HEG Genève , Carouge 1227, Switzerland

3. European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus , Cambridge CB10 1SD, UK

4. Department of Microbiology and Molecular Medicine, Faculty of Medicine, University of Geneva , Geneva 1205, Switzerland

5. Semanticly Ltd , London, WC2H 9JQ, UK

6. Plazi , Bern 3007, Switzerland

Abstract

Abstract Motivation Since early 2020, the coronavirus disease 2019 (COVID-19) pandemic has confronted the biomedical community with an unprecedented challenge. The rapid spread of COVID-19 and ease of transmission seen worldwide is due to increased population flow and international trade. Front-line medical care, treatment research and vaccine development also require rapid and informative interpretation of the literature and COVID-19 data produced around the world, with 177 500 papers published between January 2020 and November 2021, i.e. almost 8500 papers per month. To extract knowledge and enable interoperability across resources, we developed the COVID-19 Vocabulary (COVoc), an application ontology related to the research on this pandemic. The main objective of COVoc development was to enable seamless navigation from biomedical literature to core databases and tools of ELIXIR, a European-wide intergovernmental organization for life sciences. Results This collaborative work provided data integration into SIB Literature services, an application ontology (COVoc) and a triage service named COVTriage and based on annotation processing to search for COVID-related information across pre-defined aspects with daily updates. Thanks to its interoperability potential, COVoc lends itself to wider applications, hopefully through further connections with other novel COVID-19 ontologies as has been established with Coronavirus Infectious Disease Ontology. Availability and implementation The data at https://github.com/EBISPOT/covoc and the service at https://candy.hesge.ch/COVTriage.

Funder

BICKL Research Project

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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1. Europe PMC in 2023;Nucleic Acids Research;2023-11-22

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