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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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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. |
format | Online Article Text |
id | pubmed-6513154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT sotoaxelj thaliasemanticsearchengineforbiomedicalabstracts AT przybyłapiotr thaliasemanticsearchengineforbiomedicalabstracts AT ananiadousophia thaliasemanticsearchengineforbiomedicalabstracts |