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Configurable web-services for biomedical document annotation

The need to efficiently find and extract information from the continuously growing biomedical literature has led to the development of various annotation tools aimed at identifying mentions of entities and relations. Many of these tools have been integrated in user-friendly applications facilitating...

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Detalles Bibliográficos
Autor principal: Matos, Sérgio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6755557/
https://www.ncbi.nlm.nih.gov/pubmed/30578450
http://dx.doi.org/10.1186/s13321-018-0317-4
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author Matos, Sérgio
author_facet Matos, Sérgio
author_sort Matos, Sérgio
collection PubMed
description The need to efficiently find and extract information from the continuously growing biomedical literature has led to the development of various annotation tools aimed at identifying mentions of entities and relations. Many of these tools have been integrated in user-friendly applications facilitating their use by non-expert text miners and database curators. In this paper we describe the latest version of Neji, a web-services ready text processing and annotation framework. The modular and flexible architecture facilitates adaptation to different annotation requirements, while the built-in web services allow its integration in external tools and text mining pipelines. The evaluation of the web annotation server on the technical interoperability and performance of annotation servers track of BioCreative V.5 further illustrates the flexibility and applicability of this framework.
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spelling pubmed-67555572019-09-26 Configurable web-services for biomedical document annotation Matos, Sérgio J Cheminform Research Article The need to efficiently find and extract information from the continuously growing biomedical literature has led to the development of various annotation tools aimed at identifying mentions of entities and relations. Many of these tools have been integrated in user-friendly applications facilitating their use by non-expert text miners and database curators. In this paper we describe the latest version of Neji, a web-services ready text processing and annotation framework. The modular and flexible architecture facilitates adaptation to different annotation requirements, while the built-in web services allow its integration in external tools and text mining pipelines. The evaluation of the web annotation server on the technical interoperability and performance of annotation servers track of BioCreative V.5 further illustrates the flexibility and applicability of this framework. Springer International Publishing 2018-12-21 /pmc/articles/PMC6755557/ /pubmed/30578450 http://dx.doi.org/10.1186/s13321-018-0317-4 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Matos, Sérgio
Configurable web-services for biomedical document annotation
title Configurable web-services for biomedical document annotation
title_full Configurable web-services for biomedical document annotation
title_fullStr Configurable web-services for biomedical document annotation
title_full_unstemmed Configurable web-services for biomedical document annotation
title_short Configurable web-services for biomedical document annotation
title_sort configurable web-services for biomedical document annotation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6755557/
https://www.ncbi.nlm.nih.gov/pubmed/30578450
http://dx.doi.org/10.1186/s13321-018-0317-4
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