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Colil: a database and search service for citation contexts in the life sciences domain

BACKGROUND: To promote research activities in a particular research area, it is important to efficiently identify current research trends, advances, and issues in that area. Although review papers in the research area can suffice for this purpose in general, researchers are not necessarily able to o...

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Detalles Bibliográficos
Autores principales: Fujiwara, Toyofumi, Yamamoto, Yasunori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4617487/
https://www.ncbi.nlm.nih.gov/pubmed/26500753
http://dx.doi.org/10.1186/s13326-015-0037-x
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author Fujiwara, Toyofumi
Yamamoto, Yasunori
author_facet Fujiwara, Toyofumi
Yamamoto, Yasunori
author_sort Fujiwara, Toyofumi
collection PubMed
description BACKGROUND: To promote research activities in a particular research area, it is important to efficiently identify current research trends, advances, and issues in that area. Although review papers in the research area can suffice for this purpose in general, researchers are not necessarily able to obtain these papers from research aspects of their interests at the time they are required. Therefore, the utilization of the citation contexts of papers in a research area has been considered as another approach. However, there are few search services to retrieve citation contexts in the life sciences domain; furthermore, efficiently obtaining citation contexts is becoming difficult due to the large volume and rapid growth of life sciences papers. RESULTS: Here, we introduce the Colil (Comments on Literature in Literature) database to store citation contexts in the life sciences domain. By using the Resource Description Framework (RDF) and a newly compiled vocabulary, we built the Colil database and made it available through the SPARQL endpoint. In addition, we developed a web-based search service called Colil that searches for a cited paper in the Colil database and then returns a list of citation contexts for it along with papers relevant to it based on co-citations. The citation contexts in the Colil database were extracted from full-text papers of the PubMed Central Open Access Subset (PMC-OAS), which includes 545,147 papers indexed in PubMed. These papers are distributed across 3,171 journals and cite 5,136,741 unique papers that correspond to approximately 25 % of total PubMed entries. CONCLUSIONS: By utilizing Colil, researchers can easily refer to a set of citation contexts and relevant papers based on co-citations for a target paper. Colil helps researchers to comprehend life sciences papers in a research area more efficiently and makes their biological research more efficient. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13326-015-0037-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-46174872015-10-24 Colil: a database and search service for citation contexts in the life sciences domain Fujiwara, Toyofumi Yamamoto, Yasunori J Biomed Semantics Database BACKGROUND: To promote research activities in a particular research area, it is important to efficiently identify current research trends, advances, and issues in that area. Although review papers in the research area can suffice for this purpose in general, researchers are not necessarily able to obtain these papers from research aspects of their interests at the time they are required. Therefore, the utilization of the citation contexts of papers in a research area has been considered as another approach. However, there are few search services to retrieve citation contexts in the life sciences domain; furthermore, efficiently obtaining citation contexts is becoming difficult due to the large volume and rapid growth of life sciences papers. RESULTS: Here, we introduce the Colil (Comments on Literature in Literature) database to store citation contexts in the life sciences domain. By using the Resource Description Framework (RDF) and a newly compiled vocabulary, we built the Colil database and made it available through the SPARQL endpoint. In addition, we developed a web-based search service called Colil that searches for a cited paper in the Colil database and then returns a list of citation contexts for it along with papers relevant to it based on co-citations. The citation contexts in the Colil database were extracted from full-text papers of the PubMed Central Open Access Subset (PMC-OAS), which includes 545,147 papers indexed in PubMed. These papers are distributed across 3,171 journals and cite 5,136,741 unique papers that correspond to approximately 25 % of total PubMed entries. CONCLUSIONS: By utilizing Colil, researchers can easily refer to a set of citation contexts and relevant papers based on co-citations for a target paper. Colil helps researchers to comprehend life sciences papers in a research area more efficiently and makes their biological research more efficient. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13326-015-0037-x) contains supplementary material, which is available to authorized users. BioMed Central 2015-10-19 /pmc/articles/PMC4617487/ /pubmed/26500753 http://dx.doi.org/10.1186/s13326-015-0037-x Text en © Fujiwara and Yamamoto. 2015 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 Database
Fujiwara, Toyofumi
Yamamoto, Yasunori
Colil: a database and search service for citation contexts in the life sciences domain
title Colil: a database and search service for citation contexts in the life sciences domain
title_full Colil: a database and search service for citation contexts in the life sciences domain
title_fullStr Colil: a database and search service for citation contexts in the life sciences domain
title_full_unstemmed Colil: a database and search service for citation contexts in the life sciences domain
title_short Colil: a database and search service for citation contexts in the life sciences domain
title_sort colil: a database and search service for citation contexts in the life sciences domain
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4617487/
https://www.ncbi.nlm.nih.gov/pubmed/26500753
http://dx.doi.org/10.1186/s13326-015-0037-x
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