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

Stud Health Technol Inform. 2021 May 27:281:78-82. doi: 10.3233/SHTI210124.


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

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

MeSH terms

  • COVID-19*
  • Humans
  • Pandemics
  • Publishing
  • SARS-CoV-2
  • Semantics