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

Langnickel, Lisa; Baum, Roman; Darms, Johannes; Madan, Sumit; Fluck, Juliane

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

Langnickel L, Baum R, Darms J, Madan S, Fluck J (2021)
In: Public Health and Informatics. Proceedings of MIE 2021. Mantas J, Stoicu-Tivadar L, Chronaki C, Hasman A, Weber P, Gallos P, Crişan-Vida M, Zoulias E, Chirila OS (Eds); Studies in Health Technology and Informatics, 281. Amsterdam: IOS Press: 78-82.

Sammelwerksbeitrag | Veröffentlicht | Englisch

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DOI

https://doi.org/10.3233/SHTI210124

Autor*in

Langnickel, Lisa^UniBi ; Baum, Roman; Darms, Johannes; Madan, Sumit; Fluck, Juliane

Herausgeber*in

Mantas, John; Stoicu-Tivadar, Lăcrămioara; Chronaki, Catherine; Hasman, Arie; Weber, Patrick; Gallos, Parisis; Crişan-Vida, Mihaela; Zoulias, Emmanouil; Chirila, Oana Sorina

Einrichtung

Technische Fakultät > BIBI > DILS-Studierende

Abstract / Bemerkung

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.

Erscheinungsjahr

2021

Buchtitel

Public Health and Informatics. Proceedings of MIE 2021

Serientitel

Studies in Health Technology and Informatics

Band

281

Seite(n)

78-82

Urheberrecht / Lizenzen

Creative Commons Namensnennung-Nicht kommerziell 4.0 International (CC BY-NC 4.0)

ISBN

978-1-64368-184-9

eISBN

978-1-64368-185-6

Page URI

https://pub.uni-bielefeld.de/record/2955258

Zitieren

Langnickel L, Baum R, Darms J, Madan S, Fluck J. COVID-19 preVIEW: Semantic Search to Explore COVID-19 Research Preprints. In: Mantas J, Stoicu-Tivadar L, Chronaki C, et al., eds. Public Health and Informatics. Proceedings of MIE 2021. Studies in Health Technology and Informatics. Vol 281. Amsterdam: IOS Press; 2021: 78-82.

Langnickel, L., Baum, R., Darms, J., Madan, S., & Fluck, J. (2021). COVID-19 preVIEW: Semantic Search to Explore COVID-19 Research Preprints. In J. Mantas, L. Stoicu-Tivadar, C. Chronaki, A. Hasman, P. Weber, P. Gallos, M. Crişan-Vida, et al. (Eds.), Studies in Health Technology and Informatics: Vol. 281. Public Health and Informatics. Proceedings of MIE 2021 (pp. 78-82). Amsterdam: IOS Press. https://doi.org/10.3233/SHTI210124

Langnickel, Lisa, Baum, Roman, Darms, Johannes, Madan, Sumit, and Fluck, Juliane. 2021. “COVID-19 preVIEW: Semantic Search to Explore COVID-19 Research Preprints”. In Public Health and Informatics. Proceedings of MIE 2021, ed. John Mantas, Lăcrămioara Stoicu-Tivadar, Catherine Chronaki, Arie Hasman, Patrick Weber, Parisis Gallos, Mihaela Crişan-Vida, Emmanouil Zoulias, and Oana Sorina Chirila, 281:78-82. Studies in Health Technology and Informatics. Amsterdam: IOS Press.

Langnickel, L., Baum, R., Darms, J., Madan, S., and Fluck, J. (2021). “COVID-19 preVIEW: Semantic Search to Explore COVID-19 Research Preprints” in Public Health and Informatics. Proceedings of MIE 2021, Mantas, J., Stoicu-Tivadar, L., Chronaki, C., Hasman, A., Weber, P., Gallos, P., Crişan-Vida, M., Zoulias, E., and Chirila, O. S. eds. Studies in Health Technology and Informatics, vol. 281, (Amsterdam: IOS Press), 78-82.

Langnickel, L., et al., 2021. COVID-19 preVIEW: Semantic Search to Explore COVID-19 Research Preprints. In J. Mantas, et al., eds. Public Health and Informatics. Proceedings of MIE 2021. Studies in Health Technology and Informatics. no.281 Amsterdam: IOS Press, pp. 78-82.

L. Langnickel, et al., “COVID-19 preVIEW: Semantic Search to Explore COVID-19 Research Preprints”, Public Health and Informatics. Proceedings of MIE 2021, J. Mantas, et al., eds., Studies in Health Technology and Informatics, vol. 281, Amsterdam: IOS Press, 2021, pp.78-82.

Langnickel, L., Baum, R., Darms, J., Madan, S., Fluck, J.: COVID-19 preVIEW: Semantic Search to Explore COVID-19 Research Preprints. In: Mantas, J., Stoicu-Tivadar, L., Chronaki, C., Hasman, A., Weber, P., Gallos, P., Crişan-Vida, M., Zoulias, E., and Chirila, O.S. (eds.) Public Health and Informatics. Proceedings of MIE 2021. Studies in Health Technology and Informatics. 281, p. 78-82. IOS Press, Amsterdam (2021).

Langnickel, Lisa, Baum, Roman, Darms, Johannes, Madan, Sumit, and Fluck, Juliane. “COVID-19 preVIEW: Semantic Search to Explore COVID-19 Research Preprints”. Public Health and Informatics. Proceedings of MIE 2021. Ed. John Mantas, Lăcrămioara Stoicu-Tivadar, Catherine Chronaki, Arie Hasman, Patrick Weber, Parisis Gallos, Mihaela Crişan-Vida, Emmanouil Zoulias, and Oana Sorina Chirila. Amsterdam: IOS Press, 2021.Vol. 281. Studies in Health Technology and Informatics. 78-82.

Daten bereitgestellt von European Bioinformatics Institute (EBI)