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Translation and Expansion: Enabling Laypeople Access to the COVID-19 Academic Collection

Academic collections, such as COVID-19 Open Research Dataset (CORD-19), contain a large number of scholarly articles regarding COVID-19 and other related viruses. These articles represent the latest development in combating COVID-19 pandemic in various disciplines. However, it is difficult for laype...

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Autores principales: He, Daqing, Wang, Zhendong, Thaker, Khushboo, Zou, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Daqing He et al., published by Sciendo. Published by Elsevier Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969476/
https://www.ncbi.nlm.nih.gov/pubmed/35382101
http://dx.doi.org/10.2478/dim-2020-0011
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author He, Daqing
Wang, Zhendong
Thaker, Khushboo
Zou, Ning
author_facet He, Daqing
Wang, Zhendong
Thaker, Khushboo
Zou, Ning
author_sort He, Daqing
collection PubMed
description Academic collections, such as COVID-19 Open Research Dataset (CORD-19), contain a large number of scholarly articles regarding COVID-19 and other related viruses. These articles represent the latest development in combating COVID-19 pandemic in various disciplines. However, it is difficult for laypeople to access these articles due to the term mismatch problem caused by their limited medical knowledge. In this article, we present an effort of helping laypeople to access the CORD-19 collection by translating and expanding laypeople's keywords to their corresponding medical terminology using the National Library of Medicine's Consumer Health Vocabulary. We then developed a retrieval system called Search engine for Laypeople to access the COVID-19 literature (SLAC) using open-source software. Utilizing Centers for Disease Control and Prevention's FAQ questions as the basis for developing common questions that laypeople could be interested in, we performed a set of experiments for testing the SLAC system and the translation and expansion (T&E) process. Our experiment results demonstrate that the T&E process indeed helped to overcome the term mismatch problem and mapped laypeople terms to the medical terms in the academic articles. But we also found that not all laypeople's search topics are meaningful to search on the CORD-19 collection. This indicates the scope and the limitation of enabling laypeople to search on academic article collection for obtaining high-quality information.
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spelling pubmed-89694762022-04-01 Translation and Expansion: Enabling Laypeople Access to the COVID-19 Academic Collection He, Daqing Wang, Zhendong Thaker, Khushboo Zou, Ning Data Inf Manag Research Article Academic collections, such as COVID-19 Open Research Dataset (CORD-19), contain a large number of scholarly articles regarding COVID-19 and other related viruses. These articles represent the latest development in combating COVID-19 pandemic in various disciplines. However, it is difficult for laypeople to access these articles due to the term mismatch problem caused by their limited medical knowledge. In this article, we present an effort of helping laypeople to access the CORD-19 collection by translating and expanding laypeople's keywords to their corresponding medical terminology using the National Library of Medicine's Consumer Health Vocabulary. We then developed a retrieval system called Search engine for Laypeople to access the COVID-19 literature (SLAC) using open-source software. Utilizing Centers for Disease Control and Prevention's FAQ questions as the basis for developing common questions that laypeople could be interested in, we performed a set of experiments for testing the SLAC system and the translation and expansion (T&E) process. Our experiment results demonstrate that the T&E process indeed helped to overcome the term mismatch problem and mapped laypeople terms to the medical terms in the academic articles. But we also found that not all laypeople's search topics are meaningful to search on the CORD-19 collection. This indicates the scope and the limitation of enabling laypeople to search on academic article collection for obtaining high-quality information. Daqing He et al., published by Sciendo. Published by Elsevier Ltd 2020-09-01 2022-03-31 /pmc/articles/PMC8969476/ /pubmed/35382101 http://dx.doi.org/10.2478/dim-2020-0011 Text en © 2020 Daqing He et al., published by Sciendo Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Research Article
He, Daqing
Wang, Zhendong
Thaker, Khushboo
Zou, Ning
Translation and Expansion: Enabling Laypeople Access to the COVID-19 Academic Collection
title Translation and Expansion: Enabling Laypeople Access to the COVID-19 Academic Collection
title_full Translation and Expansion: Enabling Laypeople Access to the COVID-19 Academic Collection
title_fullStr Translation and Expansion: Enabling Laypeople Access to the COVID-19 Academic Collection
title_full_unstemmed Translation and Expansion: Enabling Laypeople Access to the COVID-19 Academic Collection
title_short Translation and Expansion: Enabling Laypeople Access to the COVID-19 Academic Collection
title_sort translation and expansion: enabling laypeople access to the covid-19 academic collection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969476/
https://www.ncbi.nlm.nih.gov/pubmed/35382101
http://dx.doi.org/10.2478/dim-2020-0011
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