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  4. COVID-19 preVIEW: Semantic Search to Explore COVID-19 Research Preprints
 
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2021
Conference Paper
Title

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

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.
Author(s)
Langnickel, L.
Baum, R.
Darms, J.
Madan, S.
Fluck, J.
Mainwork
Public Health and Informatics  
Conference
Medical Informatics in Europe Conference (MIE) 2021  
DOI
10.3233/SHTI210124
Language
English
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
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