Literature DB >> 34042709

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

Lisa Langnickel1,2, Roman Baum1, Johannes Darms1, Sumit Madan3,4, Juliane Fluck1,3,4.   

Abstract

During the current COVID-19 pandemic, the rapid availability of profound information is crucial in order to derive information about diagnosis, disease trajectory, treatment or to adapt the rules of conduct in public. The increased importance of preprints for COVID-19 research initiated the design of the preprint search engine preVIEW. Conceptually, it is a lightweight semantic search engine focusing on easy inclusion of specialized COVID-19 textual collections and provides a user friendly web interface for semantic information retrieval. In order to support semantic search functionality, we integrated a text mining workflow for indexing with relevant terminologies. Currently, diseases, human genes and SARS-CoV-2 proteins are annotated, and more will be added in future. The system integrates collections from several different preprint servers that are used in the biomedical domain to publish non-peer-reviewed work, thereby enabling one central access point for the users. In addition, our service offers facet searching, export functionality and an API access. COVID-19 preVIEW is publicly available at https://preview.zbmed.de.

Entities:  

Keywords:  Biomedical Text Mining; COVID-19; Information Retrieval

Mesh:

Year:  2021        PMID: 34042709     DOI: 10.3233/SHTI210124

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  3 in total

Review 1.  [Fridays for future! - All days for surgery! : Thoughts of young surgeons on a modern promotion of the next generation].

Authors:  Tobias Huber; Florentine Hüttl; Benedikt Braun; Beate Blank; Stefanie Schierholz; Tobias Fritz; Juliane Kroeplin
Journal:  Chirurg       Date:  2022-02-07       Impact factor: 0.955

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

Authors:  Lisa Langnickel; Johannes Darms; Katharina Heldt; Denise Ducks; Juliane Fluck
Journal:  Database (Oxford)       Date:  2022-07-01       Impact factor: 4.462

3.  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

  3 in total

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