• Proceedings of the Korean Society for Information Management Conference
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• 2000.08a
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• pp.67-70
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• 2000

본 연구에서는 국내 의학학술논문의 저자가 선정한 주제용어(저자용어)와 MEDLINE 레코드의 MeSH 용어를 비교하여 국내 의학 학술논문 저자들이 얼마나 정확히 MeSH 용어를 사용하는지 일치도를 측정하였고, 사용방법상 어떠한 특징을 보이는지, 일치하지 않는 이유가 무엇인지 분석하였다. 1989년부터 1998년까지 Korean Journal of Parasitology에 발표된 415편의 논문에 사용된 1,826개의 저자용어 가운데 MEDLINE 레코드의 MeSH 용어와 일치한다고 볼 수 있는 용어는 35.5% (649개)로 한 논문에 평균 1.6개의 용어가 일치하였다. 이 가운데 완전히 일치하는 용어는 10.1%밖에 되지 않았다. 이와 같이 국내 의학학술논문 저자들은 MeSH 용어를 정확히 사용하기 위해 필수적인 체크태그 (Check tag), 계층구조 (Tree Structure), 부표목 사용 등 MeSH 용어 사용방법에 대한 지식이 부족한 것으로 나타났다.

• Journal of the Korean Society for information Management
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• v.17 no.3
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• pp.109-124
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• 2000

In order to analyze how accurately authors of Korean medical papers use MeSH terms, the key words of Korean medical papers assigned by authors (author terms) are compared with the MeSH terms listed in the corresponding MEDLINE records. A total of 1,826 author terms were used in the 415 Korean Journal of Parasitology papers published between 1989 and 1998. An average of 4.4. author terms and 9.9 MeSH terms were assigned to each paper. 35.5% of author terms matched exactly or partially with MeSH terms, the average being 1.6 terms per paper. The exact match terms consisted only 10.1%. The result of this study shows that the major difference between author terms and MeSH terms are in the use of subheadings and check tags. It indicates that the Korean authors in general do not have sufficient knowledge in selecting and using MeSH terms.

• Proceedings of the Korean Society for Information Management Conference
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• 2014.08a
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• pp.119-122
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• 2014

본 연구는 교육학 분야에서 국내 학술 논문 저자키워드 출현 순서에 의미가 있는지 알아보기 위하여 저자키워드 출현 순서별로 빈도를 조사하고 동 저자 키워드가 제목에 출현하는지를 살펴본 후, 학술논문 저자키워드 출현 순서에 따른 빈도가 저자키워드의 논문 제목 출현 빈도에 미치는 영향에 대해 연구하고자 한다. 연구의 배경은 구조적 학술용어사전의 구축과 관련해서 효율적인 용어 선정이나 용어 분류 방법을 찾는 것이다. 연구의 목적을 위해 교육학 분야 저자키워드의 출현 빈도수가 1인 것을 제외하고 고빈도 순으로 400개 용어를 추출하였다. 저자키워드의 몇 번째 출현 순서가 저자키워드의 제목 출현에 가장 큰 영향을 미치는지 알아본 결과, 저자키워드의 첫 번째 출현이 아닌 두 번째 출현이 가장 큰 영향을 미친다는 것을 알 수 있었다.

• KLA journal
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• v.12 no.1
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• pp.17-21
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• 1971

이 원고는 날로 변화 발전하는 도서관학 및 봉사개념의 변화에 따라 1966년에 편간된 용어집의 수정증보와 더 나아가서는 용어사전으로서 개정할 필요성이 관계에서 논의되어온 바 본회 전문위 용어분위에서는 작업을 결의하고(69.7.8) 연구에 착수하여 지난해에 Documentation 분야의 시안을 게재한 바 있고 이번에 총류 및 일반적인 용어에 대한 해설을 실었다. 이 원고를 읽으시고 좋은 의견을 사무국으로 보내주시기 바란다.

• Proceedings of the Korean Society for Information Management Conference
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• 2010.08a
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• pp.21-28
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• 2010

본 연구에서는 PubMed에 등재되었으나 Medical Subject Headings(MeSH)가 부여되지 않은 국내 의학학술지의 문헌을 대상으로 미국국립의학도서관 (NLM: National Library of Medicine)의 Medical Text Indexer(MTI)를 활용하여 MeSH 용어를 추천받은 후, PubMed 레코드의 유사주제문헌 (Relation Citations, PRC)에 부여된 MeSH와의 일치여부를 분석하였다. 또한 논문의 저자가 부여한 키워드(저자키워드)와 PRC MeSH의 일치여부도 비교하였다. PRC MeSH와 MTI MeSH 추천어의 일치율은 주표목이 21.1%였고, 체크태그는 18.1%, 부표목은 16.5%로 나타났다. 우리나라 의학논문에 나타난 저자키워드의 중요한 특징은 MeSH 주표목 위주이고, 체크태그와 부표목은 거의 사용하지 않는 것이다. 따라서 저자키워드와 PRC MeSH 주표목과의 일치율은 23.4%에 이르지만, 체크태그와 부표목의 일치율은 각각 1%, 2.1%였다. 색인전문가가 통제어휘를 사용하여 색인하는 과정에서 PRC와 MTI의 MeSH 주표목과 저자키워드가 일치하는 용어를 주표목으로 부여하고, PRC와 MTI가 추천하는 체크태그와 부표목을 활용하는 등 국내 의학문헌의 MeSH 용어 부여 작업을 반자동화(semi-indexing)하면, 정확하고 신속한 MeSH 부여 작업이 가능할 것이다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.340-342
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• 2022

Index Terms, or keywords, are an important component of research papers because they present a quick overview of the main subjects covered in the research paper by highlighting the most important nouns. In this study, we extracted the author-assigned index terms from KIICE Conference Proceedings dating back to 2018 for seasonal conferences, and 2016 for the international conference (ICFICE). The extracted index terms were standardized and analyzed to gain an understanding of research topic trends and any over or under-represented research topics. This kind of index term analysis is expected to be useful in helping researchers not only identify additional potential topics for their own research, but also aid them in selecting from a common vocabulary of keywords when they assign index terms to their research papers.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.4
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• pp.297-322
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• 2014

The purpose of this study is to analyse the meaning and lexical morpheme of author keywords of humanities, social sciences, and art and sport in the Korea Ciation Index (KCI) and to propose a conceptual taxonomy of the author keywords. Four top-level concept categories such as 'Substance, Abstraction, General/Common, and Object' are replaced by seven more concrete categories such as 'object, action/function, property, theory/method, format/framework, general/common, and Instance'. In the middle and lower-level concept categories, the hierarchical structure is simplified and the unbalance of term distribution is reduced by creating, subdivision, integration, elimination, and movement of the categories. The result of the test based on the STNet shows that the replaced taxonomy of concept categories has the effects of making the term allocation more balanced and properties of terms more detailed.

• The KIPS Transactions:PartB
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• v.13B no.2 s.105
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• pp.155-162
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• 2006

The medical thesaurus, MeSH (Medical Subject Heading), has been used as a controlled vocabulary thesaurus for English medical paper indexing for a long time. In this paper, we propose an automatic cross language keyword assignment method, which assigns English MeSH index terms to the abstract of a Korean medical paper. We compare the performance with the indexing performance of human indexers and the authors. The procedure of index term assignment is that first extracting Korean MeSH terms from text, changing these terms into the corresponding English MeSH terms, and calculating the importance of the terms to find the highest rank terms as the keywords. For the process, an effective method to solve spacing variants problem is proposed. Experiment showed that the method solved the spacing variant problem and reduced the thesaurus space by about 42%. And the experiment also showed that the performance of automatic keyword assignment is much less than that of human indexers but is as good as that of authors.

• Journal of the Korean Society for information Management
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• v.30 no.2
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• pp.227-243
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• 2013

The purpose of this study is to verify the correlation between the appearance frequency of author keyword and the number of citation in journal articles. In this study, we were trying to develop a methodology that can select the term having semantic relation with other terms and higher utilization to build a structured scientific glossary. In order to achieve this purpose, we analyzed the number of citation and the author keyword of the humanities and social science journal articles of the Korea Citation Index (KCI) from 2007 to 2011. This study found a correlation between appearance frequency of author keyword and the number of citation of the journal articles, with higher appearance frequency of author keyword of the journal articles being more cited.

• Journal of the Korean Society for information Management
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• v.37 no.2
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• pp.197-223
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• 2020

The purpose of this study is to analyze the issues resulted from the process of grouping KORMARC records using FRBR WORK concept and to suggest a new method. The previous studies did not sufficiently address the criteria or processes for identifying representative authors of records and their derivatives. Therefore, our study focused on devising a method of identifying the representative author when there are multiple contributors in a work. The study developed a method of identifying representative authors using an author role dictionary constructed by extracting role-terms from the statement of responsibility field (245). We also designed another way to group records as a work by calculating similarity measures of authors and titles. The accuracy rate of WORK grouping was the highest when blank spaces, parentheses, and controling processes were removed from titles and the measured similarity rates of authors and titles were higher than 80 percent. This was an experiment study where we developed an author-role dictionary that can be utilized in selecting a representative author and measured the similarity rate of authors and titles in order to achieve effective WORK grouping of KORMARC records. The future study will attempt to devise a way to improve the similarity measure of titles, incorporate FRBR Group 1 entities such as expression, manifestation and item data into the algorithm, and a method of improving the algorithm by utilizing other forms of MARC data that are widely used in Korea.