• Journal of the Korean Society for information Management
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• v.17 no.2
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• pp.155-170
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• 2000

In this research, several ways of creating effective STI(Scientific ＆ Technological Information) databases were suggested. We put emphasis on the selection of input data, while on the other was handled, such factors as standardization for data entry, data entry system, etc.. In order to decide priority of target data, the status of document delivery service was analyzed. The result shows that conference proceedings were given priority to academic journals. In case of journals, ranking in the number of documents requested at KORDIC (Korea R＆D Information Center) and 16 Specialized Information Centers was compared with the ranking in citation frequency and impact factor, appeared at SCI.

• Journal of the Korean housing association
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• v.25 no.2
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• pp.79-87
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• 2014

The purpose of this study is to research the characteristics of literature related to environmentally friendly for a village-focused green index. In order to make an assessment, keywords relating to green architecture were selected: environmental friendliness, ecology, sustainable, Noksaek (Green in Korean), green, and environmentally friendly. In addition, three keywords defining the scope of space were also selected: building, village, and city. Quantitative changes and contents of articles containing the keywords were analyzed. The result is as follows. First, 'sustainable' and 'ecology' were the terms most frequently used as parts of subjects and titles, respectively. Second, the studies relating to green architecture focused on villages mostly examine the actual conditions of the villages; criteria for environmental friendliness, analyses and evaluation of the environmentally friendly features of the village; and ways to establish a green, ecological, and sustainable village. Finally, when it came to establishing a village-focused green index, the environment, resources, and energy are shown to be very important elements. In addition, the term 'ecology' in a green index is shown to be significant for the management of the natural environment.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.21 no.3
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• pp.77-89
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• 2010

The purpose of this study is to develop a faceted classification scheme linked with a thesaurus(FCT) to more effectively organize documents according to subject, by transforming the current Korean Decimal Classification system(KDC) into a faceted classification scheme and linking it with Korea’s National Library Subject Headings. This combination should represent complex subjects more clearly, allow users to change citation order, and facilitate the addition of new subjects to the KDC scheme. Furthermore, by linking a thesaurus to the classification scheme, it is possible to share facets and expand the conceptual level of headings through the thesaurus descriptors.

• Journal of Environmental Science International
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• v.29 no.3
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• pp.283-297
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• 2020

Technology used by human beings has developed drastically over the years. Although people enjoy affluent lives as a result of this development, the depletion of resources has brought about a variety of environmental problems such as emission of fine dust, treatment of waste water, and global warming. Although studies on environmental pollution are being conducted continuously, there are a limited number of studies that analyze research trends from quantitative and qualitative perspectives. In order to examine the current research landscape, we employed Scopus to combine research interest in environmental science with bibliographic analysis. Among 74,089 papers published in 57 journals of environmental science, 3,212 papers were published by Korean authors and citations per publications and Field-Weighted Citation Impact (FWCI) of those papers were 7.3 and 1.0, respectively. By assessing the bibliometric indicators in the field of environmental science, this study provides insight into research trends and related data to aid researchers in developing research strategies.

• Journal of Information Science Theory and Practice
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• v.5 no.2
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• pp.48-61
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• 2017

This paper uses 601 cited papers of Pakistani LIS researchers with the purpose to examine the individual performance of these Library and Information Science (LIS) researchers in terms of their research output and its impact on the LIS (national/international) literature by using various bibliometric indicators. A list of 139 authors was compiled with the help of the Library, Information Science, and Technology Abstracts (LISTA) and some other sources. Data were collected from Google Scholar and SPSS version 20 was utilized in order to identify the relationship between self-citations and various performance indices of the authors. The average citations received per paper vary from 1.80 to 10.08. About half of the papers were single-authored whereas less than one-fifth were by three or more authors. The authors who worked in collaboration produced more papers and received more citations. The h-index, g-index, hI-index, hI-norm, and e-index were used to determine the rank for each author. The intra-group citations grid revealed the volume of self-citations and a small group who cite each other more due to close academic and social relationships. The correlations between self-citations and the impact indices used revealed significant differences. Findings are useful for concerned institutions regarding award, promotions, etc. Further, future research should seriously consider the self-citations and social networking of authors while examining their citations-based research performance.

• Journal of the Korean Society of Earth Science Education
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• v.9 no.1
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• pp.65-87
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• 2016

The purpose of this study is to examine Korean journals related to science education in order to analyze research trends into Nature of science in Korea. The subject of the study is the level of Korean Citation Index (KCI-listed, KCI listing candidates), that can be searched by the key phrase, "Nature of science" in Korean language through the RISS service. In this study, the Descriptive Statistical Analysis Method is utilized to discover the number of research articles, classifying them by year and by journal. Also, the Sementic Network Analysis was conducted to Word Cloud Analysis the frequency of key words, Centrality Analysis, co-occurrence and Cluster Dendrogram Analysis throughout a variety of research articles. The results show that 91 research papers were published in 25 journals from 1991 to 2015. Specifically, the 2 major journals published more than 50% of the total papers. In relation to research fields., In addition, key phrases, such as 'Analysis', 'recognition', 'lessons', 'science textbook', 'History of Science' and 'influence' are the most frequently used among the research studies. Finally, there are small language networks that appear concurrently as below: [Nature of science - high school student - recognize], [Explicit - lesson - effect], [elementary school - science textbook - analysis]. Research topic have been gradually diversified. However, many studies still put their focus on analysis and research aspects, and there have been little research on the Teaching and learning methods.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.268-270
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• 2019

In this paper, we analyzed the papers related to the "4th Industry". In order to analyze the papers, total of 685 papers were collected by searching with the keyword "4th industry" in Korea Journal Index(KCI) from 2016 to 2019. We used Python-based web scraping program to collect papers. As a result of analysis, it was confirmed that artificial intelligence, big data, Internet of things(IoT), digital, network and so on have emerged as the major technologies, and it was confirmed that research has been utilizing the major technologies in various fields related to the 4th industry such as industry, government, education field, and job.

• Journal of the Korean Society for information Management
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• v.38 no.1
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• pp.221-242
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• 2021

This study applied reference metadata recognition using bidirectional GRU-CRF model based on pre-trained language model. The experimental group consists of 161,315 references extracted by 53,562 academic documents in PDF format collected from 40 journals published in 2018 based on rules. In order to construct an experiment set. This study was conducted to automatically extract the references from academic literature in PDF format. Through this study, the language model with the highest performance was identified, and additional experiments were conducted on the model to compare the recognition performance according to the size of the training set. Finally, the performance of each metadata was confirmed.

• The Korean Journal of Physiology and Pharmacology
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• v.28 no.5
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• pp.393-401
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• 2024

Large language models (LLMs) are rapidly transforming medical writing and publishing. This review article focuses on experimental evidence to provide a comprehensive overview of the current applications, challenges, and future implications of LLMs in various stages of academic research and publishing process. Global surveys reveal a high prevalence of LLM usage in scientific writing, with both potential benefits and challenges associated with its adoption. LLMs have been successfully applied in literature search, research design, writing assistance, quality assessment, citation generation, and data analysis. LLMs have also been used in peer review and publication processes, including manuscript screening, generating review comments, and identifying potential biases. To ensure the integrity and quality of scholarly work in the era of LLM-assisted research, responsible artificial intelligence (AI) use is crucial. Researchers should prioritize verifying the accuracy and reliability of AI-generated content, maintain transparency in the use of LLMs, and develop collaborative human-AI workflows. Reviewers should focus on higher-order reviewing skills and be aware of the potential use of LLMs in manuscripts. Editorial offices should develop clear policies and guidelines on AI use and foster open dialogue within the academic community. Future directions include addressing the limitations and biases of current LLMs, exploring innovative applications, and continuously updating policies and practices in response to technological advancements. Collaborative efforts among stakeholders are necessary to harness the transformative potential of LLMs while maintaining the integrity of medical writing and publishing.

• 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.