• Journal of the Korean Society for Library and Information Science
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• v.55 no.1
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• pp.393-413
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• 2021

Digital humanities, which creates new and innovative knowledge through the combination of digital information technology and humanities research problems, can be seen as a representative multidisciplinary field of study. To investigate the intellectual structure of the digital humanities field, a network analysis of authors and keywords co-word was performed on a total of 441 papers in the last two years (2019, 2020) at the Digital Humanities Conference. As the results of the author and keyword analysis show, we can find out the active activities of Europe, North America, and Japanese and Chinese authors in East Asia. Through the co-author network, 11 dis-connected sub-networks are identified, which can be seen as a result of closed co-authoring activities. Through keyword analysis, 16 sub-subject areas are identified, which are machine learning, pedagogy, metadata, topic modeling, stylometry, cultural heritage, network, digital archive, natural language processing, digital library, twitter, drama, big data, neural network, virtual reality, and ethics. This results imply that a diver variety of digital information technologies are playing a major role in the digital humanities. In addition, keywords with high frequency can be classified into humanities-based keywords, digital information technology-based keywords, and convergence keywords. The dynamics of the growth and development of digital humanities can represented in these combinations of keywords.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.30 no.3
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• pp.149-170
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• 2019

This study aimed at analyzing the 6 foreign reformed theological journals and index terms, authors to find out the intellectual structures and the characteristics of the journals, the authors. First, analyzing the index terms, we analyzed the main keywords and the increasing trend by period, second, analyzing the journals, we analyzed the main subject of them and the subjects of distinguishing features by the journals, third we analyzed the authors' profiling. The index terms were clustered four big clusters and 23 small clusters. The journals were clustered the two clusters, and we also analyzed the index terms to distinguish a journal from other journals. The authors were clustered the six clusters, the index terms the clusters of the authors shared were similar to the results of the two analyses. The biblical teachings of The Old Testament and the New Testament and reformed theology were core subject terms and it was consistent in the results of these three analyses. This study mainly aimed at analyzing the 6 foreign reformed theological journals, and we found out that the parts of the results of this study were similar to the results of analyzing the domestic reformed theological journals. Therefore, there should be more researches needed to figure out what the results of this study mean to Korean reformed theology.

• 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.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.1
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• pp.183-190
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• 2012

This study constructs an expert search system which has a mutual cooperation function based on thesis and author profile. The proposed methodology is as follows. First, we propose weighting method which can search a keyword and the most relevant keyword. Second, we propose a method which can search the experts efficiently with this weighting method. On the preferential basis, keywords and author profiles are extracted from the papers, and experts can be searched through this method. This system will be available to many fields of social network. However, this information is distributed to many systems. We propose a method using multi-ontology to integrate distributed data. The multi-ontology is composed of meta ontology, instance ontology, location ontology and association ontology. The association ontology is constructed through analysis of keyword association dynamically. An expert network is constructed using this multi-ontology, and this expert network can search expert through association trace of keyword. The expert network can check the detail area of expertise through the research list which is provided by the system.

• The Korean Publising Journal, Monthly
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• s.299
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• pp.21-21
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• 2001

• Journal of Technology Innovation
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• v.24 no.4
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• pp.101-126
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• 2016

This paper identifies core research topics and their relationships by deriving the research topic networks in the technology management field using co-word analysis. Contrary to the conventional approach in which undirected networks are constructed based on normalized co-occurrence frequency, this study analyzes directed networks of keywords by employing the confidence index of association rule mining for pairs of keywords. Author keywords included in 2,456 articles published in nine international journals of technology management in 2011~2014 are extracted and categorized into three types: THEME, METHOD, and FIELD. One-mode networks for each type of keywords are constructed to identify core research keywords and their interrelationships with each type. We then derive the two-mode networks composed of different two types of keywords, THEME-METHOD and THEME-FIELD, to explore which methods or fields are frequently employed or studied for each theme. The findings of this study are expected to be fruitfully referred for researchers in the field of technology management to grasp research trends and set the future research directions.

• Journal of Korean Library and Information Science Society
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• v.41 no.1
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• pp.149-165
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• 2010

In this research, we analyze about the general service provided by Society of Korean journal articles of science and technology. Personalized retrieval services which are suitable to the articles service were developed based on this. That is, there are personalized retrieval system based on user's keyword, authors navigation system, automatic topic recommendation system based on author's keyword, and similar user automatic recommendation system. In this research, personalized service methods being suitable to the articles service of Society tries to be considered through the user survey.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.169-172
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• 2022

재난안전 분야의 기술개발 동향을 파악하고 지적 관계를 분석하기 위한 연구에서 신뢰성과 최신성을 겸비한 학술정보를 활용하는 것은 매우 유용하다. 기존의 논문 기반 계량정보분석 연구에서는 관련 분야의 학술지와 키워드를 중심으로 분석 대상 논문을 선별하여 연구재료로 사용하였다. 본 논문에서는 재난안전 분야의 보다 세부적인 연구 특성 파악을 위해 국내 대학기관의 방재 및 안전공학 학과에 소속된 저자들의 논문 정보를 대상으로 기관식별, 학과유형 분류, 재난안전유형 분류. 표준산업분류를 매핑하고 주요 측면별로 분석 연구를 수행하였다. 분석 결과, 재난안전 분야 연구에서 저자소속 기관의 유형 및 지역적 분포, 공저 학과 유형의 구성, 재난안전유형 및 표준산업분류의 현황과 핵심 키워드가 자세히 파악되었다. 연구 결과는 향후 지능형 위기경보 체계 구축을 위한 재난유형별 주요 기관 및 전문가 식별과 추천에 활용이 기대된다.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.1
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• pp.45-67
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• 2015

The purpose of this study is to analyse the semantic relations of terms in STNet, a structured terminology dictionary based on author keywords of humanities, social sciences, and art and sport in the Korea Citation Index (KCI) and to describe the procedure for optimizing the relation types and specifying the name of relationships. The results indicate that four logical criteria, such as creating new names for relationships or limitation of typing the relationship by the appearance frequency of same type, consideration of direction of relationship, reflection to accept the existing name of relationships, are required for the optimization of the typing and naming the relationships. We applied these criteria to the relationships in the class "real person" of STNet and the result shows that 1,135 out of 1,743 uncertain relationships such as RT, RT_X or RT_Y are specified and clarified. This rate of optimization with ca. 65% represents the usefulness of the criteria applicable to the cases of database construction and retrieval.

• 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.