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Automatic term identification for bibliometric mapping

A term map is a map that visualizes the structure of a scientific field by showing the relations between important terms in the field. The terms shown in a term map are usually selected manually with the help of domain experts. Manual term selection has the disadvantages of being subjective and labo...

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Detalles Bibliográficos
Autores principales: van Eck, Nees Jan, Waltman, Ludo, Noyons, Ed C. M., Buter, Reindert K.
Formato: Texto
Lenguaje:English
Publicado: Springer Netherlands 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2830586/
https://www.ncbi.nlm.nih.gov/pubmed/20234767
http://dx.doi.org/10.1007/s11192-010-0173-0
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author van Eck, Nees Jan
Waltman, Ludo
Noyons, Ed C. M.
Buter, Reindert K.
author_facet van Eck, Nees Jan
Waltman, Ludo
Noyons, Ed C. M.
Buter, Reindert K.
author_sort van Eck, Nees Jan
collection PubMed
description A term map is a map that visualizes the structure of a scientific field by showing the relations between important terms in the field. The terms shown in a term map are usually selected manually with the help of domain experts. Manual term selection has the disadvantages of being subjective and labor-intensive. To overcome these disadvantages, we propose a methodology for automatic term identification and we use this methodology to select the terms to be included in a term map. To evaluate the proposed methodology, we use it to construct a term map of the field of operations research. The quality of the map is assessed by a number of operations research experts. It turns out that in general the proposed methodology performs quite well.
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spelling pubmed-28305862010-03-15 Automatic term identification for bibliometric mapping van Eck, Nees Jan Waltman, Ludo Noyons, Ed C. M. Buter, Reindert K. Scientometrics Article A term map is a map that visualizes the structure of a scientific field by showing the relations between important terms in the field. The terms shown in a term map are usually selected manually with the help of domain experts. Manual term selection has the disadvantages of being subjective and labor-intensive. To overcome these disadvantages, we propose a methodology for automatic term identification and we use this methodology to select the terms to be included in a term map. To evaluate the proposed methodology, we use it to construct a term map of the field of operations research. The quality of the map is assessed by a number of operations research experts. It turns out that in general the proposed methodology performs quite well. Springer Netherlands 2010-02-11 2010 /pmc/articles/PMC2830586/ /pubmed/20234767 http://dx.doi.org/10.1007/s11192-010-0173-0 Text en © The Author(s) 2010 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Article
van Eck, Nees Jan
Waltman, Ludo
Noyons, Ed C. M.
Buter, Reindert K.
Automatic term identification for bibliometric mapping
title Automatic term identification for bibliometric mapping
title_full Automatic term identification for bibliometric mapping
title_fullStr Automatic term identification for bibliometric mapping
title_full_unstemmed Automatic term identification for bibliometric mapping
title_short Automatic term identification for bibliometric mapping
title_sort automatic term identification for bibliometric mapping
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2830586/
https://www.ncbi.nlm.nih.gov/pubmed/20234767
http://dx.doi.org/10.1007/s11192-010-0173-0
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