• The Journal of Bigdata
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• v.5 no.1
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• pp.77-88
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• 2020

Recently, many researches habe been done to organize and analyze various complex relationships in real world, represented in the form of graphs. In particular, the computer field literature data system, such as DBLP, is a representative graph data in which can be composed of papers, their authors, and citation among papers. Becasue graph data is very complex in storage structure and expression, it is very difficult task to search, analysis, and visualize a large size of bibliographic big data. In this paper, we develop a graphic user interface tool, called EEUM, which visualizes bibliographic big data in the form of graphs. EEUM provides the features to browse bibliographic big data according to the connected graph structure by visually displaying graph data, and implements search, management and analysis of the bibliographc big data. It also shows that EEUM can be conveniently used to search, explore, and analyze by applying EEUM to the bibliographic graph big data provided by DBLP. Through EEUM, you can easily find influential authors or papers in every research fields, and conveniently use it as a search and analysis tool for complex bibliographc big data, such as giving you a glimpse of all the relationships between several authors and papers.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.1
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• pp.183-211
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• 2023

As a private school and a library in the Enlightenment Period of Korea, Woo-Hyun Seoru(友弦書樓) was established between 1904 - March 1905 by Lee, Dong Jin who had a will and provided a economic support for it and his son Lee, Il Woo had founded and operated it and it seemed to be closed in 1911. By this time, Woo-Hyun Seoru has been underestimated or ignored in the history of libraries in Korea. This study tried to investigate 8 aspects of Woo-Hyun Seoru as a modern library including the subject and purpose of establishment, the date of establishment, the location and buildings, the collection development and the acquisition methods, the user group and the important users, the library activities, the process of closure, and the moving path of the collections after the closure of Woo-Hyun Seoru. To do this, the articles of newspaper, periodicals, and academic journals, the relating documents and Sung Nam Se Go(城南世稿) written by Dong Jin Lee, Il Woo Lee and their descendants and colleagues were analyzed.

• Journal of the Korean Society for Library and Information Science
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• v.15
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• pp.73-94
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• 1988

The main purpose of the present study is to investigate the citation habit of Korean social scientists by making use of citation analysis and content analysis, and to assess the nature of interdisciplinary flow of information in Korea in terms of the citation dependency on other disciplines, the types of channels used in formal scientific communication, the countries published the literatures of other disciplines cited in the source articles, and the languages used in the literatures of other disciplines. The major findings and conclusions reached at this study are summarised as follows: 1. Korean social scientists mainly cite the literatures of economics, sociology, politics, and history when they cite the literature of other disciplines. 2. The citation dependency on other disciplines of the economists, polictial scientists, and sociologists are 6 percents, 14 percents, and 19 percents, respectively. 3. The citation dependency on history of the economists is 25 percents, the dependency on sociology of the political scientists is 34.9 percents, and the dependency on economics of the sociologists is 50. 19 percents. 4. The types of channels used in formal scientific communication in social sciences are firmly book and journal. 5. The countries published the literatures of other disciplines .cited in the source articles are Korea and the U. S. firmly. 6. The languages used in the literatures of other disciplines cited in the source articles are Korean and English overwhelmingly.

• Journal of Korean Academy of Nursing
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• v.25 no.2
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• pp.244-258
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• 1995

아기의 출생은 부모에게 환경적, 신체적, 정신적 부담을 준다. 이렇게 부모가 된 사람들은 부모역할 수행시 어려움을 겪고 있고, 그 중에서도 어머니가 아버지보다 역할수행시 더 많은 어려 움을 겪고 있다고 한다. 본 연구는 생후 8개월 된 아기 어머니들을 대상으로 역할이 론을 토대로 모성역할 획득에 영향을 주는 요인들로 가설적 모형을 구축하고, 이의 적합성을 검정하므로 써 어머니들의 모성역할 획득을 촉진하기 위하여 필요한 간호 정보를 제공하려고 한다. 본 연구는 문헌고찰을 통하여 모성역할 긴장과 모성역할 획득에 영향을 주는 요인으로 일상생활의 시간적 여유, 아기 기질, 사회적 지지가 포함되었고, 모성역할 긴장이 모성역할 획득에 영향을 주는 것으로 이론적 기틀을 구성하였다. 연구도구로는 모성역할 획득 중 모성 정체감을 측정하기 위해 Osgood(Walker et al., 1986a에서 인용)도구, 모성역할 수행을 측정하기 위해 수정보완 된 Gibaud-Wallston(1977)도구와 어머니가 지각한 모아 상호작용정도 도구를 이용하였고, 모성역할 긴장측정에는 수정 보완된 Hobbs(정, 1985에서 인용)도구를 이용하였다. 아기 기질은 수정 보완한 The degree of thor inventory(Mercer, 1986 에서 인용), 남편의 정신적지지 측정은Taylor(Durrett, 1986에서 인용)의 도구를 이용하였고, 일상생활의 시간적 여유, 남편의 신체적 지지 및 주위의 지지측정은 연구자가 개발한 도구를 사용하였다. 1993년 1월부터 1994년 1월까지 대전시 5개 보건소에 등록된 대상자들에게 우편으로 설문지를 보내어 221명이 회수되어 회수율이 약72%였다. 일반적인 서술적 자료 분석은 SPSS PC+ 를 이용하였고, 가설적 모형은PC-LISREL 7.13 (Joreskkog & Sorbom,1988)프로그램을 이용하여 공변량구조분석을 하였다. 연구결과는 다음과 같다. 모성역할 획득에 모성역할 긴장, 일상생활의 시간적 여유, 아기 기질, 사회적 지지가 영향을 주며, 모성역할 긴장에는 일상생활의 시간적 여유, 아기 기질, 사회적지지가 영향을 준다고 설정된 가설적 모형〈Figure 1〉의 분석 결과 전반적 지수는 자유도 23에 카이자승치 60.17, GFI와 AGFI의 값은 .944, .891였고, NFI와 NNFI의 값은 .8823, .7932 이었다. 그러나 세부적 지수 중 모성역할 긴장에서 모성역할획득으로의 경로, 일상생활의 시간적 여유에서 모성역할 획득으로의 경로, 아기 기질에서 모성역할 획득으로의 경로의 고정지수가 절대치 2에 미치지 못하여, 세 경로계수를 영(0)으로 고정시킬 필요가 있었다. 따라서 더 간명하며 부합도가 좋은 모형을 찾기 위하여 가설적모형에서 고정지수가 낮은 경로 부터 고정시켜 나가 세경로(모성 역할 긴장에서 모성역할 획득, 일상생활의 시간적 여유에서 모성역할 획득, 아기 기질에서 모성역할획득)를 고정시킨 수정 모형 의 PFI (간명도)가 .5986으로서 가설적모형의 PFI(간명도) .5636보다 커 부합도 를 손상하지 않고 더 간명한 모형으로 나타났다. 수정모형 의 고정 지수를 살펴 본 결과 절대 치 2에 미치지 못하는 경로는 나타나지 않았다. 공변량구조분석 결과 나타난 변인간의 관계를 보면 가) 모성역할 긴장은 사회적 지지가 많을수록(Lisrel Estimates=-1.591), 아기 기질이 순하다고 생각할수록(Lisrel Estimates=-.266), 일상생활의 시간적 여유가 많을수록(Lisrel Estimstes=-1.771) 낮았고, 나) 모성역할 획득은 사회적 지지가 많을수록(Lisrel Estimates=1.120) 잘 되었다.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.4
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• pp.392-397
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• 2015

Society has been developed through analogue, digital, and smart era. Every technology is going through consistent changes and rapid developments. In this competitive society, R&D strategy establishment is significantly useful and helpful for improving technology competitiveness. A patent document includes technical and legal rights information such as title, abstract, description, claim, and patent classification code. From the patent document, a lot of people can understand and collect legal and technical information. This unique feature of patent can be quantitatively applied for technology analysis. This research paper proposes a methodology for extracting core technology and patents based on quantitative methods. Statistical analysis and social network analysis are applied to IPC codes in order to extract core technologies with active R&D and high centralities. Then, core patents are also extracted by analyzing citation and family information.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.1
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• pp.191-207
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• 2017

This paper employs entitymetrics analysis on the research works of Dong-ju Yun. He was a Korean poet who was studied by many researchers on his works, religion and life. We collected 1,076 papers about Dong-ju Yun and conducted various approaches including co-author citation analysis, topic modeling analysis to identify the topic trend in the study of Dong-ju Yun. Also we extracted entities like person's name and literature's title from abstract to examine the relationship among them. The result of this paper enables us to objectively identify the topic trend and infer implicit relationships between key concept associated with Dong-ju Yun based on text data. Moreover, we observed sub-research topics such as life, poem, aesthetic existence, comparative literature, literary translation, and religious beliefs. This paper shows how entitymetrics can be utilized to study intellectual structures in the humanities.

• Journal of the Korean Society for information Management
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• v.33 no.4
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• pp.175-199
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• 2016

We analyzed the relationships between the co-authorship network centralities and the research performance indicators with the authors and the number of citations of the papers published for 10 years in Korean library and information science journals. In particular, the research performance indicators were calculated with normal counting and with fractional counting also. As a result of correlation analysis between the variables by setting the different ranges of the author groups to be analyzed according to the number of articles, it was possible to explain the inconsistent results of the previous studies on the correlations between the researchers' citation indicators and their co-authorship network centralities. Overall, the degree of co-authorship activities measured by collaboration coefficient showed no or negatively correlated with research performance. There were statistically significant positive correlations between the centralities and the research performance indicators, but the correlation was not significant in the analysis of the top 30 authors by number of articles.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1552-1553
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• 2007

2001년 1월 빌 클린턴 미국 전 대통령의 국가나노기술전략 (National Nanotechnology Initiative) 발표 이후 현재 전세계 50여개 국가에서 국가핵심전략 연구개발사업의 하나로 나노기술을 선정하고 집중투자하고 있다. 이러한 정책 및 예산지원으로 인해 정부연구개발투자의 효율화를 위한 연구성과의 체계적인 평가가 중요하게 되었으며, 나노기술 연구개발 활동의 연구결과는 과학기술 생산성이나 연구결과물 즉 논문 등의 출판을 통한 확산이나 인용분석 등에 기초한 양적 평가지표를 이용해 측정하는 서지적 방법에 의해 평가되고 있다. 나노기술 연구활동 및 실적에 대한 객관적 평가는 과학기술 정책 입안과 의사결정 과정에서 중요한 역할을 하며 나노기술 분야의 연구활동을 평가하기 위한 중요한 지표가 될 수 있는 것이 연구논문이다. 이에 본 연구에서는 미국의 민간학술정보전문기관인 ISI(Institute for Scientific Information)에서 구축하였으며 주요과학기술문헌 인용색인정보를 수록한 SCIE 데이터베이스를 활용하여 우리나라의 나노기술관련 논문신장율, 세계점유율 및 국가별 비교분석을 수행함으로써 국내 나노기술 연구개발 수준 및 성과분석을 위한 기초 자료를 제공하고자 한다.

• Journal of the Korean Society for information Management
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• v.40 no.1
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• pp.121-148
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• 2023

The purpose of this study is to propose a scholarly paper recommendation system based on metadata attribute similarity with excellent performance. This study suggests a scholarly paper recommendation method that combines techniques from two sub-fields of Library and Information Science, namely metadata use in Information Organization and co-citation analysis, author bibliographic coupling, co-occurrence frequency, and cosine similarity in Bibliometrics. To conduct experiments, a total of 9,643 paper metadata related to "inequality" and "divide" were collected and refined to derive relative coordinate values between author, keyword, and title attributes using cosine similarity. The study then conducted experiments to select weight conditions and dimension numbers that resulted in a good performance. The results were presented and evaluated by users, and based on this, the study conducted discussions centered on the research questions through reference node and recommendation combination characteristic analysis, conjoint analysis, and results from comparative analysis. Overall, the study showed that the performance was excellent when author-related attributes were used alone or in combination with title-related attributes. If the technique proposed in this study is utilized and a wide range of samples are secured, it could help improve the performance of recommendation techniques not only in the field of literature recommendation in information services but also in various other fields in society.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.343-344
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• 2023

과학기술 문헌을 활용한 계량정보분석에서 학과정보의 활용은 매유 유용하다. 본 논문에서는 한국과학기술인용색인데이터베이스에 등재된 국내 학술지 논문에 출현하는 대학기관 소속 저자의 학과정보를 추출하고 데이터 정제 및 학과유형 분류 처리를 통해 학과정보 데이터셋을 구축하였다. 학과정보 데이터셋을 학습데이터와 검증데이터로 이용하여 딥러닝 기반의 자동분류 모델을 구현하였으며, 모델 성능 평가 결과는 한글 학과정보 기준 98.6%와 영문 학과정보 기준 97.6%의 정확률로 측정되었다. 향후 과학기술 분야별 지적관계 분석 및 논문 주제분류 등에 학과정보 자동분류 처리기의 활용이 기대된다.