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Creating Neuroscientific Knowledge Organization System Based on Word Representation and Agglomerative Clustering Algorithm

The literature on neuroscience has grown rapidly in recent years with the emergence of new domains of research. In the context of this progress, creating a knowledge organization system (KOS) that can quickly incorporate terms of a given domain is an important aim in the area. In this article, we de...

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Autores principales: Huangfu, Cunqing, Zeng, Yi, Wang, Yuwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7461893/
https://www.ncbi.nlm.nih.gov/pubmed/33013345
http://dx.doi.org/10.3389/fninf.2020.00038
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author Huangfu, Cunqing
Zeng, Yi
Wang, Yuwei
author_facet Huangfu, Cunqing
Zeng, Yi
Wang, Yuwei
author_sort Huangfu, Cunqing
collection PubMed
description The literature on neuroscience has grown rapidly in recent years with the emergence of new domains of research. In the context of this progress, creating a knowledge organization system (KOS) that can quickly incorporate terms of a given domain is an important aim in the area. In this article, we develop a systematic method based on word representation and the agglomerative clustering algorithm to semi-automatically build a hierarchical KOS. We collected 35,832 research keywords and 11,497 research methods from PubMed Central database, and organized them in a hierarchical structure according to semantic distance. We show that the proposed KOS can help find terms related to the given topics, analyze articles related to specific domains of research, and characterize the features of article clusters. The proposed method can significantly reduce the manual work required by experts to organize the KOS.
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spelling pubmed-74618932020-10-01 Creating Neuroscientific Knowledge Organization System Based on Word Representation and Agglomerative Clustering Algorithm Huangfu, Cunqing Zeng, Yi Wang, Yuwei Front Neuroinform Neuroscience The literature on neuroscience has grown rapidly in recent years with the emergence of new domains of research. In the context of this progress, creating a knowledge organization system (KOS) that can quickly incorporate terms of a given domain is an important aim in the area. In this article, we develop a systematic method based on word representation and the agglomerative clustering algorithm to semi-automatically build a hierarchical KOS. We collected 35,832 research keywords and 11,497 research methods from PubMed Central database, and organized them in a hierarchical structure according to semantic distance. We show that the proposed KOS can help find terms related to the given topics, analyze articles related to specific domains of research, and characterize the features of article clusters. The proposed method can significantly reduce the manual work required by experts to organize the KOS. Frontiers Media S.A. 2020-08-18 /pmc/articles/PMC7461893/ /pubmed/33013345 http://dx.doi.org/10.3389/fninf.2020.00038 Text en Copyright © 2020 Huangfu, Zeng and Wang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Huangfu, Cunqing
Zeng, Yi
Wang, Yuwei
Creating Neuroscientific Knowledge Organization System Based on Word Representation and Agglomerative Clustering Algorithm
title Creating Neuroscientific Knowledge Organization System Based on Word Representation and Agglomerative Clustering Algorithm
title_full Creating Neuroscientific Knowledge Organization System Based on Word Representation and Agglomerative Clustering Algorithm
title_fullStr Creating Neuroscientific Knowledge Organization System Based on Word Representation and Agglomerative Clustering Algorithm
title_full_unstemmed Creating Neuroscientific Knowledge Organization System Based on Word Representation and Agglomerative Clustering Algorithm
title_short Creating Neuroscientific Knowledge Organization System Based on Word Representation and Agglomerative Clustering Algorithm
title_sort creating neuroscientific knowledge organization system based on word representation and agglomerative clustering algorithm
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7461893/
https://www.ncbi.nlm.nih.gov/pubmed/33013345
http://dx.doi.org/10.3389/fninf.2020.00038
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