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Section level search functionality in Europe PMC

BACKGROUND: As the availability of open access full text research articles increases, so does the need for sophisticated search services that make the most of this new content. Here, we present a new feature available in Europe PMC that allows selected sections of full text articles to be searched,...

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Autores principales: Kafkas, Şenay, Pi, Xingjun, Marinos, Nikos, Talo’, Francesco, Morrison, Andrew, McEntyre, Johanna R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4359544/
https://www.ncbi.nlm.nih.gov/pubmed/25774284
http://dx.doi.org/10.1186/s13326-015-0003-7
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author Kafkas, Şenay
Pi, Xingjun
Marinos, Nikos
Talo’, Francesco
Morrison, Andrew
McEntyre, Johanna R
author_facet Kafkas, Şenay
Pi, Xingjun
Marinos, Nikos
Talo’, Francesco
Morrison, Andrew
McEntyre, Johanna R
author_sort Kafkas, Şenay
collection PubMed
description BACKGROUND: As the availability of open access full text research articles increases, so does the need for sophisticated search services that make the most of this new content. Here, we present a new feature available in Europe PMC that allows selected sections of full text articles to be searched, including figures and reference lists. Users can now search particular parts of an article, reducing noise and allowing fine-tuning of searches. RESULTS: To the best of our knowledge, Europe PMC is the first service that provides a granular literature search by allowing users to target their search to particular sections of articles. This new functionality is based on a heuristic algorithm that identifies and categorises article sections into 17 pre-defined categories based on the section heading. The tagger’s performance is measured against a manually curated dataset consisting of 100 full text articles with an F-score of 98.02%. CONCLUSIONS: The section search is available from the advanced search within Europe PMC (http://europepmc.org). The source code is freely available from http://europepmc.org/ftp/oa/SectionTagger/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13326-015-0003-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-43595442015-03-15 Section level search functionality in Europe PMC Kafkas, Şenay Pi, Xingjun Marinos, Nikos Talo’, Francesco Morrison, Andrew McEntyre, Johanna R J Biomed Semantics Software BACKGROUND: As the availability of open access full text research articles increases, so does the need for sophisticated search services that make the most of this new content. Here, we present a new feature available in Europe PMC that allows selected sections of full text articles to be searched, including figures and reference lists. Users can now search particular parts of an article, reducing noise and allowing fine-tuning of searches. RESULTS: To the best of our knowledge, Europe PMC is the first service that provides a granular literature search by allowing users to target their search to particular sections of articles. This new functionality is based on a heuristic algorithm that identifies and categorises article sections into 17 pre-defined categories based on the section heading. The tagger’s performance is measured against a manually curated dataset consisting of 100 full text articles with an F-score of 98.02%. CONCLUSIONS: The section search is available from the advanced search within Europe PMC (http://europepmc.org). The source code is freely available from http://europepmc.org/ftp/oa/SectionTagger/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13326-015-0003-7) contains supplementary material, which is available to authorized users. BioMed Central 2015-03-10 /pmc/articles/PMC4359544/ /pubmed/25774284 http://dx.doi.org/10.1186/s13326-015-0003-7 Text en © Kafkas et al.; licensee BioMed Central. 2015 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 use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Software
Kafkas, Şenay
Pi, Xingjun
Marinos, Nikos
Talo’, Francesco
Morrison, Andrew
McEntyre, Johanna R
Section level search functionality in Europe PMC
title Section level search functionality in Europe PMC
title_full Section level search functionality in Europe PMC
title_fullStr Section level search functionality in Europe PMC
title_full_unstemmed Section level search functionality in Europe PMC
title_short Section level search functionality in Europe PMC
title_sort section level search functionality in europe pmc
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4359544/
https://www.ncbi.nlm.nih.gov/pubmed/25774284
http://dx.doi.org/10.1186/s13326-015-0003-7
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