• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.490-498
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• 2010

In the web or not, all academic information have the creator which produces that information. The creator can be individual, organization, institution, or country. Most information consist of the title, author and content. The article among academic information is described by title, author, keywords, abstract, publisher, ISSN(International Standard Serial Number) and etc., and the patent information is consisted some metadata such as invention title, applicant, inventors, agents, application number, claim items etc. Most web-based academic information services provide search functions to user by processing and handling these metadata, and the search function using the author field is important. In this paper, we propose an effective indexing management for person name search, and search techniques using boosting factor and near operation based on phrase search to improve precision rate of search result. And we describe person name retrieval result with another expression name, co-authors and persons in same research field. The approach presented in this paper provides accurate data and additional search results to user efficiently.

• Journal of the Korean Society for information Management
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• v.37 no.1
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• pp.153-177
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• 2020

In the context of open science, data sharing and reuse are becoming important researchers' activities. Among the discussions about data sharing and reuse, data journals and data papers shows visible results. Data journals are published in many academic fields, and the number of papers is increasing. Unlike the data itself, data papers contain activities that cite and receive citations, thus creating their own intellectual structures. This study analyzed 14 data journals indexed by Web of Science, 6,086 data papers and 84,908 cited references to examine the intellectual structure of data journals and data papers in academic community. Along with the author's details, the co-citation analysis and bibliographic coupling analysis were visualized in network to identify the detailed subject areas. The results of the analysis show that the frequent authors, affiliated institutions, and countries are different from that of traditional journal papers. These results can be interpreted as mainly because the authors who can easily produce data publish data papers. In both co-citation and bibliographic analysis, analytical tools, databases, and genome composition were the main subtopic areas. The co-citation analysis resulted in nine clusters, with specific subject areas being water quality and climate. The bibliographic analysis consisted of a total of 27 components, and detailed subject areas such as ocean and atmosphere were identified in addition to water quality and climate. Notably, the subject areas of the social sciences have also emerged.

• The Journal of the Korea Contents Association
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• v.19 no.11
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• pp.262-269
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• 2019

References at the end of an academic paper are information that helps authors keep their research ethics, readers refer to related prior studies. Also references are useful information for linking citations and citations between articles. As bibliography metrics develops, bibliographic data is used as an important data for assessing the academic influence of countries, institutions and individual researchers. However, it is not easy to identify and link the reference data due to the diversity of the bibliographic citation formats, the loss of information due to the abbreviation of journal names and author names, and typos by authors. This study investigated the method of improving the bibliographic data mapping rate by analyzing the unmapped cases. As a result, it was found that the main cause of the article-reference mapping failure was the similarity of abbreviated journal names. Research team suggested that continuous management of journal title authority data and improving the DOI registration rate as ways to improve the identification and mapping rate. This study is differentiated from other studies in used database. Bibliography mapping was attempted for domestic and foreign integrated journal database that is mainly subscribed, used, published and cited in Korea. Through reference construction volume and mapping rate improvement, it can be used as citation analysis and service database reflecting domestic situation that is different from overseas citation index database.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.667-671
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• 2006

Co-Authorship analysis is a kind of bibliometric analysis. and a well established tool for character of knowledge network in some technical fields. If more than two authors co-author an article, there is a relation of knowledge. So This study aims at discovering the trends and phases of OLED technology using co-authorship analysis, a kind of bibliographic analysis. The Science Citation Index Expanded(SCIE) database was used to search for the number of times paired Korean articles were co-authored in OLED field.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.537-539
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• 2017

학술활동 생명주기는 저자, 학술단체 및 정보서비스 제공자의 관점에서 논문투고, 심사, 출판, 데이터베이스 구축, 정보서비스로 정의될 수 있다. 생명주기 단계별로 학술단체들은 온라인 또는 오프라인 도구들을 이용해 저자와 심사위원들간의 커뮤니케이션을 돕고 있으며, 정보서비스 제공기관들은 출판된 학술정보를 수집하고 데이터베이스를 구축하여 정보서비스를 제공하고 있다. 이들 단계들에 표준식별체계를 적용하여 유기적으로 연결해 주면 생명주기 활동에 들어가는 전체적인 시간, 노력, 비용을 절감 할 수 있다. 이 발표에서는 학술활동 생명주기의 이해당사자들의 요구를 전반적으로 만족시키기 위해 개발된 DOI등록 관리 서비스의 설계 및 구현에 대해서 논한다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.27 no.4
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• pp.125-145
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• 2016

This study aimed at finding theological trends of Calvin Theological Journal by analyzing Library of Congress Subject Headings (LCSH). The study performed the time-series analysis and the analysis of distinctive terms by examining the main authors and the subject headings of the articles published in Calvin Theological Journal during 45 years. We also proposed a new method of dividing the analysis period with the change of authors and subject headings. In the analysis results, the 18 main authors had the three clusters and shared Calvin and the Reformed Theology, the Bible. The reformed characteristics were shown in the first and second period, but the reformed theology was at the margins. The frequency of Calvin became small in the third period, the frequency of the reformed theology became bigger than before, but it was at the perimeters. Literary criticism was clustered independently. There were lots of the terms of the reformed theology in the analysis of the distinctive terms in all three periods and especially in the 2-1 period science and religion were included as the distinctive terms. Therefore, the theological tendency of the Calvin Theological Journal seemed the reformed theology and Old Testament.

• Proceedings of the KSMRM Conference
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• 2001.11a
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• pp.15-19
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• 2001

지난 10년간 신경계의 MR영상은 컴퓨터를 비롯한 하드웨어적인 발달에 힘입어 functional imaging, perfusion imaging, diffusion imaging, MR spectroscopy, MR angiography 등의 분야에서 괄목한 만한 성장이 있었다. 지난 2001년 4월 국제자기공명의과학회 (ISMRM) 학술대회에 약 2300개의 논문이 발표되었으며 이 중 신경계와 관련된 논문의 수는 저자가 파악하기에 약 500개 정도이었다. 매년 수많은 논문이 발표되고 있으나 이 중 기초 또는 임상의학적으로 유용한 논문만이 후속 연구로 연결되어 궁극적으로 많은 사람들이 활용할 수 있게 되고 있다. 따라서 지난 수 년 동안의 연구 동향을 모두 follow-up하는 것은 무의미하며, 이 중 functional, perfusion, diffusion imaging을 중심으로 이들 영상 기법의 기술적 측면과 적용 분야를 알아보고자 한다.

• Proceedings of the Korean Society for Information Management Conference
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• 2003.08a
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• pp.325-332
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• 2003

본 연구의 목적은 1970년부터 2000년 사이에 나타난 우리 나라 문헌정보학 연구 논문의 인용 문헌을 대상으로 저자가 인용한 문헌의 주제, 문헌의 유형, 간행시기, 언어를 조사 및 분석함으로써 문헌정보학 연구의 학문적 성장과 타 전공과의 접목 과정을 체계화하는데 있다.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.3
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• pp.71-96
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• 2023

This study aimed to investigate key research areas in the field of Library and Information Science (LIS) by analyzing trends and identifying emerging topics. To facilitate the research, a collection of 40,897 author keywords from 11,252 papers published in the past 30 years (1993-2022) in five journals was gathered. In addition, keyword analysis, as well as Principal Component Analysis (PCA) and correlation analysis were conducted, utilizing variables such as the number of articles, number of authors, ratio of co-authored papers, and cited counts. The findings of the study suggest that two topics are likely to develop as promising research areas in LIS in the future: machine learning/algorithm and research impact. Furthermore, it is anticipated that future research will focus on topics such as social media and big data, natural language processing, research trends, and research assessment, as they are expected to emerge as prominent areas of study.

• The Journal of Korean Association of Computer Education
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• v.6 no.2
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• pp.23-31
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• 2003

In general, people use a key word or a phrase as the name of field or subject word in document. This paper has focused on keyword extraction. First of all, we investigate that an author suggests keywords that are not occurred as contents words in literature, and present generation rules to combine compound keywords based on concept of lexical information. Moreover, we present a new importance measurement to avoid useless keywords that are not related to documents' contents. To verify the validity of extraction result, we collect titles and abstracts from research papers about natural language and/or voice processing studies, and obtain the 96% precision in a top rank of extraction result.