• The Journal of the Korea Contents Association
• /
• v.20 no.2
• /
• pp.689-699
• /
• 2020

The National Science and Technology Information Center (NDSL) database, which provides academic papers at home and abroad, collects, builds, and manages data collected from various sources. In this study, we analyzed the DB paper schema and DB metadata that are currently constructed and managed to derive an integrated DB schema that can manage the high-value-added papers and manage them efficiently by analyzing distributed DB papers. Also, the final academic information data items were determined through comparison and analysis using the Web of Science and SCOPUS schemas that are currently purchased and possessed. The academic information data items constructed and serviced through this study were summarized into seven papers, authors, abstracts, institutions, themes, journals, and references, and defined as core contents under construction. The integrated DB schema was created through this study, and the results of this study will be used as a basis for constructing the integrated DB collection of high quality academic papers and designing the integrated system.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.30 no.2
• /
• pp.167-187
• /
• 2019

Information behavior (IB) research in LIS and Health Information Seeking Behavior (HISB) in Health Medicine are two subject areas of research that have matured in the past few decades. This research aimed to compare these two research areas using a bibliometric approach. To conduct this study two distinct datasets were created using the Scopus database: a) bibliographic records of IB in the LIS domain, and b) bibliographic records of the HISB domain. The bibliometric analysis was performed according to the following criteria: published papers, citations, journal articles, author keywords, unique words in the title, words preceding "information" in the title, words preceding "study" in the title, and author keywords along with index keywords. As a result, the major differences in the two IB research areas were evident in terms of definitions, main focus, and general demographic groups. These varying types of differences suggest that researchers of the two areas should have flexibility when examining issues related to IB by considering the context and the unique distinction between the two fields.

• Journal of the Korea Convergence Society
• /
• v.13 no.5
• /
• pp.261-266
• /
• 2022

The full-fledged digital age derived from the fourth industrial revolution and the impact of COVID-19 lead to changes in various fields, including companies. In other words, the importance of cloud computing is being emphasized in the rapidly changing digital environment due to the rapid growth of the cloud market due to the rapid increase in digital services. The cloud may be one of the representative strategies for sustainable growth and survival in various fields as well as related industries. Although there have been a variety of studies on the cloud, the tendency of them has been not been adequately examined. This paper, therefore, analyzed the tendency of studies on the cloud computing. by using SCOPUS, the database of overseas academic journals using both R and LAD technique. The findings showed that many studies with high interest in the cloud computing have been conducted, the cloud computing were most often drawn from an analysis on key words. Moreover, various key words, including cloud, cloud and computing, data and computing were drawn, except for the theme of cloud computing. It is expected that could be used as a basic data, in that they provide the foundation for activating the related industries in terms of practice of the cloud computing.

• Journal of the Korean Society of Radiology
• /
• v.17 no.7
• /
• pp.1179-1187
• /
• 2023

Recent advancements in modern transportation have led to the active development of various biomedical signal and medical imaging technologies. Particularly, in the field of cognitive/neuroscience, the importance of electroencephalography (EEG) measurement and the development of accurate EEG measurement technology in moving vehicles represent a challenging area. This study aims to extensively investigate and analyze the trends in technology research utilizing EEG during driving. For this purpose, the Scopus database was used to explore EEG-related research conducted since the year 2000, resulting in the selection of about 40 papers. This paper sheds light on the current trends and future directions in signal processing technology, EEG measurement device development, and in-vehicle driver state monitoring technology. Additionally, a ultra compact 32-channel EEG measurement module was designed. By implementing it simply and measuring and analyzing EEG signals, in-vehicle EEG module's functionality was checked. This research anticipates that the technology for measuring and analyzing biometric signals during driving will contribute to driver care and health monitoring in the era of autonomous vehicles.

• Journal of Information Science Theory and Practice
• /
• v.3 no.4
• /
• pp.35-48
• /
• 2015

The aim of this study is to compare country output and citation impact as well as to assess the level of interdisciplinarity in the field of tribology research during the period 1998-2012, based on the SCOPUS database. Macro-level scientometric indicators such as growth rate, share of international collaborative papers, citation per paper, share of un-cited papers, and publication efficiency index were employed. Further, the Simpson Index of Diversity was used to measure the level of interdisciplinarity. The performance of top countries contributing more than 1000 papers during the study period was discussed. Contributions and share of continents and countries by income groups were examined. Further research contributions and citation impact of selected country groups were analyzed. This study reveals that high levels of interdisciplinarity exist in tribology research. Asia outperforms the other world regions and China contributes most of the papers (25%), while the United States receives most of the citations (22%).

• International Journal of Knowledge Content Development & Technology
• /
• v.12 no.3
• /
• pp.31-49
• /
• 2022

The study presents a global research scenario in the domain of quantum sensing in quantitative and qualitative terms. The study is based on an analysis of 588 global publications in the field, sourced from the Scopus database for the period 1991-2020. The study identified key countries, organizations and authors, network collaborative linkages at national, institutional, and author level. In addition, it identified broad subject areas intersecting quantum sensing research, key journals for research communications, and broad characteristics of highly-cited papers. The study finds that the USA and Germany lead the world ranking in quantum sensing research with a combined share of 50% to the global output. The USA, Germany, and Italy are the home countries to 13 of the top 15 most productive organizations, and also the home countries to 14 of the top 15 most productive authors in the subject. The top journals publishing most research publications are Physical Review A, Physical Review Letters and New Journal of Physics. However, in the most cited journals list in the subject, Agriculture & Forest Meterology, Science and Physical Review A tops the list.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.17 no.3
• /
• pp.1022-1034
• /
• 2023

Various aspects of artificial intelligence (AI) have become of significant interest to academia and industry in recent times. To satisfy these academic and industrial interests, it is necessary to comprehensively investigate trends in AI-related changes of diverse areas. In this study, we identified and predicted emerging convergences with the help of AI-associated research abstracts collected from the SCOPUS database. The bidirectional encoder representations obtained via the transformers-based topic discovery technique were subsequently deployed to identify emerging topics related to AI. The topics discovered concern edge computing, biomedical algorithms, predictive defect maintenance, medical applications, fake news detection with block chain, explainable AI and COVID-19 applications. Their convergences were further analyzed based on the shortest path between topics to predict emerging convergences. Our findings indicated emerging AI convergences towards healthcare, manufacturing, legal applications, and marketing. These findings are expected to have policy implications for facilitating the convergences in diverse industries. Potentially, this study could contribute to the exploitation and adoption of AI-enabled convergences from a practical perspective.

• International Journal of Knowledge Content Development & Technology
• /
• v.13 no.3
• /
• pp.31-45
• /
• 2023

This study aims to understand the characteristics of Asian OA journals and to identify differences by the countries. 3,103 DOAJ-registered OA journals from 21 Asian countries as of 2020 were selected and analyzed from various perspectives using correspondence and correlation analysis. The results revealed that Indonesia had the most DOAJ-registered open access journals, followed by Iran and India. An APC was not charged by 70% of journals, but this varied greatly by country. Meanwhile, as a result of comparing DOAJ-registered Asian journals with international citation database listed journals, 11% of journals were listed on Scopus and only 2.6% and 0.1% were listed on SCIE and SSCI, which is represents less than half of the global level. In addition, although there are many free to read local journals in China, Japan, and Korea, the number of OA journals registered in DOAJ is relatively small. Therefore, it is difficult to say that the progress of OA in local journals is fast even if the country's global research competitiveness is high.

• Journal of Korean Library and Information Science Society
• /
• v.48 no.2
• /
• pp.429-447
• /
• 2017

The purpose of this study is to measure the extent of collaboration by comparing team size patterns of Korean LIS journals with international LIS journals. For the sample dataset, the top 30 ranked international journals in the field of LIS were selected using the Scimago Journal Rank (SJR), and 4 Korean LIS journals were selected for the years between 2010-2016. The size of the team who authored Korean journal articles were collected from the RISS database, while the size of team who authored international journal articles from the top LIS journals were collected using the Scopus database. The result of this study shows that the most common team size ranged from one member team to three member teams. Overall, the collaborative team size in international journals was higher than Korean journals. In particular, one member team was the most common team size in Korean journals, whereas two members team was most common in the international journals. At the subject level, the most common team size was one team member in the subject area of Library Related, while the most common team size was three team members in the subject area of Science/Engineering. The result of this study suggests that within LIS, the size of teams may vary considerably due to differences in subject areas.

• Journal of the Korean Data and Information Science Society
• /
• v.26 no.4
• /
• pp.827-839
• /
• 2015

Extraction of communities from a journal citation database by the citation structure is a useful tool to see closely related groups of the journals. SCI of Thomson Reuters or SCOPUS of Elsevier have had tried to grasp community structure of the journals in their indices according to citation relationships, but such a trial has not been made yet with the Korean Citation Index, KCI. Therefore, in this study, we extracted communities of the journals of the natural science area in KCI, using various clustering algorithms for a social network based on citations among the journals and compared the groups obtained with the classfication of KCI. The infomap algorithm, one of the clustering methods applied in this article, showed the best grouping result in the sense that groups obtained by it are closer to the KCI classification than by other algorithms considered and reflect well the citation structure of the journals. The classification results obtained in this study might be taken consideration when reclassification of the KCI journals will be made in the future.