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Journal of Korean Library and Information Science Society

  • P-ISSN2466-2542
  • KCI

ISSN : 2466-2542

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Vol.53 No.2

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A Study on Automatic Recommendation of Keywords for Sub-Classification of National Science and Technology Standard Classification System Using AttentionMesh

Journal of Korean Library and Information Science Society / Journal of Korean Library and Information Science Society, (P)2466-2542;
2022, v.53 no.2, pp.95-115
https://doi.org/10.16981/kliss.53.2.202206.95
JinHo Park (Hansung University)
MinSun Song (Daelim University College)
Park, J., & Song, M. (2022). A Study on Automatic Recommendation of Keywords for Sub-Classification of National Science and Technology Standard Classification System Using AttentionMesh. Journal of Korean Library and Information Science Society, 53(2), 95-115, https://doi.org/10.16981/kliss.53.2.202206.95

Abstract

The purpose of this study is to transform the sub-categorization terms of the National Science and Technology Standards Classification System into technical keywords by applying a machine learning algorithm. For this purpose, AttentionMeSH was used as a learning algorithm suitable for topic word recommendation. For source data, four-year research status files from 2017 to 2020, refined by the Korea Institute of Science and Technology Planning and Evaluation, were used. For learning, four attributes that well express the research content were used: task name, research goal, research abstract, and expected effect. As a result, it was confirmed that the result of MiF 0.6377 was derived when the threshold was 0.5. In order to utilize machine learning in actual work in the future and to secure technical keywords, it is expected that it will be necessary to establish a term management system and secure data of various attributes.

keywords
National Science and Technology Standard Classification System, Keyword Recommendation, Learning Machine Algorithm, Keyword Learning, AttentionMeSH
Submission Date
2022-05-25
Revised Date
Accepted Date
2022-06-21

Journal of Korean Library and Information Science Society

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