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Thalia: semantic search engine for biomedical abstracts

SUMMARY: Although the publication rate of the biomedical literature has been growing steadily during the last decades, the accessibility of pertinent research publications for biologist and medical practitioners remains a challenge. This article describes Thalia, which is a semantic search engine th...

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Detalles Bibliográficos
Autores principales: Soto, Axel J, Przybyła, Piotr, Ananiadou, Sophia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6513154/
https://www.ncbi.nlm.nih.gov/pubmed/30329013
http://dx.doi.org/10.1093/bioinformatics/bty871
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author Soto, Axel J
Przybyła, Piotr
Ananiadou, Sophia
author_facet Soto, Axel J
Przybyła, Piotr
Ananiadou, Sophia
author_sort Soto, Axel J
collection PubMed
description SUMMARY: Although the publication rate of the biomedical literature has been growing steadily during the last decades, the accessibility of pertinent research publications for biologist and medical practitioners remains a challenge. This article describes Thalia, which is a semantic search engine that can recognize eight different types of concepts occurring in biomedical abstracts. Thalia is available via a web-based interface or a RESTful API. A key aspect of our search engine is that it is updated from PubMed on a daily basis. We describe here the main building blocks of our tool as well as an evaluation of the retrieval capabilities of Thalia in the context of a precision medicine dataset. AVAILABILITY AND IMPLEMENTATION: Thalia is available at http://nactem.ac.uk/Thalia_BI/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-65131542019-05-20 Thalia: semantic search engine for biomedical abstracts Soto, Axel J Przybyła, Piotr Ananiadou, Sophia Bioinformatics Applications Notes SUMMARY: Although the publication rate of the biomedical literature has been growing steadily during the last decades, the accessibility of pertinent research publications for biologist and medical practitioners remains a challenge. This article describes Thalia, which is a semantic search engine that can recognize eight different types of concepts occurring in biomedical abstracts. Thalia is available via a web-based interface or a RESTful API. A key aspect of our search engine is that it is updated from PubMed on a daily basis. We describe here the main building blocks of our tool as well as an evaluation of the retrieval capabilities of Thalia in the context of a precision medicine dataset. AVAILABILITY AND IMPLEMENTATION: Thalia is available at http://nactem.ac.uk/Thalia_BI/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2019-05-15 2018-10-17 /pmc/articles/PMC6513154/ /pubmed/30329013 http://dx.doi.org/10.1093/bioinformatics/bty871 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Soto, Axel J
Przybyła, Piotr
Ananiadou, Sophia
Thalia: semantic search engine for biomedical abstracts
title Thalia: semantic search engine for biomedical abstracts
title_full Thalia: semantic search engine for biomedical abstracts
title_fullStr Thalia: semantic search engine for biomedical abstracts
title_full_unstemmed Thalia: semantic search engine for biomedical abstracts
title_short Thalia: semantic search engine for biomedical abstracts
title_sort thalia: semantic search engine for biomedical abstracts
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6513154/
https://www.ncbi.nlm.nih.gov/pubmed/30329013
http://dx.doi.org/10.1093/bioinformatics/bty871
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