Literature DB >> 35776071

Continuous development of the semantic search engine preVIEW: from COVID-19 to long COVID.

Lisa Langnickel1,2, Johannes Darms1, Katharina Heldt3, Denise Ducks3, Juliane Fluck1,4.   

Abstract

preVIEW is a freely available semantic search engine for Coronavirus disease (COVID-19)-related preprint publications. Currently, it contains >43 800 documents indexed with >4000 semantic concepts, annotated automatically. During the last 2 years, the dynamic situation of the corona crisis has demanded dynamic development. Whereas new semantic concepts have been added over time-such as the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of interest-the service has been also extended with several features improving the usability and user friendliness. Most importantly, the user is now able to give feedback on detected semantic concepts, i.e. a user can mark annotations as true positives or false positives. In addition, we expanded our methods to construct search queries. The presented version of preVIEW also includes links to the peer-reviewed journal articles, if available. With the described system, we participated in the BioCreative VII interactive text-mining track and retrieved promising user-in-the-loop feedback. Additionally, as the occurrence of long-term symptoms after an infection with the virus SARS-CoV-2-called long COVID-is getting more and more attention, we have recently developed and incorporated a long COVID classifier based on state-of-the-art methods and manually curated data by experts. The service is freely accessible under https://preview.zbmed.de.
© The Author(s) 2022. Published by Oxford University Press.

Entities:  

Mesh:

Year:  2022        PMID: 35776071      PMCID: PMC9248388          DOI: 10.1093/database/baac048

Source DB:  PubMed          Journal:  Database (Oxford)        ISSN: 1758-0463            Impact factor:   4.462


  6 in total

1.  COVID-19 preVIEW: Semantic Search to Explore COVID-19 Research Preprints.

Authors:  Lisa Langnickel; Roman Baum; Johannes Darms; Sumit Madan; Juliane Fluck
Journal:  Stud Health Technol Inform       Date:  2021-05-27

2.  How a torrent of COVID science changed research publishing - in seven charts.

Authors:  Holly Else
Journal:  Nature       Date:  2020-12       Impact factor: 49.962

3.  Keep up with the latest coronavirus research.

Authors:  Qingyu Chen; Alexis Allot; Zhiyong Lu
Journal:  Nature       Date:  2020-03       Impact factor: 49.962

4.  BioCreative III interactive task: an overview.

Authors:  Cecilia N Arighi; Phoebe M Roberts; Shashank Agarwal; Sanmitra Bhattacharya; Gianni Cesareni; Andrew Chatr-Aryamontri; Simon Clematide; Pascale Gaudet; Michelle Gwinn Giglio; Ian Harrow; Eva Huala; Martin Krallinger; Ulf Leser; Donghui Li; Feifan Liu; Zhiyong Lu; Lois J Maltais; Naoaki Okazaki; Livia Perfetto; Fabio Rinaldi; Rune Sætre; David Salgado; Padmini Srinivasan; Philippe E Thomas; Luca Toldo; Lynette Hirschman; Cathy H Wu
Journal:  BMC Bioinformatics       Date:  2011-10-03       Impact factor: 3.169

5.  LitCovid: an open database of COVID-19 literature.

Authors:  Qingyu Chen; Alexis Allot; Zhiyong Lu
Journal:  Nucleic Acids Res       Date:  2020-11-09       Impact factor: 16.971

6.  Pre2Pub-Tracking the Path From Preprint to Journal Article: Algorithm Development and Validation.

Authors:  Lisa Langnickel; Daria Podorskaja; Juliane Fluck
Journal:  J Med Internet Res       Date:  2022-04-08       Impact factor: 5.428

  6 in total

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