• Journal of the Korean Society for information Management
• /
• v.33 no.3
• /
• pp.7-29
• /
• 2016

The h-index is a popular bibliometric indicator for evaluating individual researchers. However, it has been criticized for its inconsistency with reflecting increased number of citations and disregarding the number of co-authors in a paper. In order to overcome these problems, we examined the g-index and other Hirsch-type indices considering the number of co-authors. Test data collection was extracted from Korean Citation Index database published from 2004 to 2013. The results of this study are as follows: First, g-index is more reliable indicator than h-index with consistency. Second, number of co-authors must be considered to maintain the h-index as an complex indicator applying the quality and the quantity of research performance. Finally, hc-index and gc-index, with fractionalised counting of the papers, can fairly measure the research performance of humanities researchers, and successfully prevent specific disciplines or institutions occupying majority of top rankings.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.19 no.9
• /
• pp.2180-2188
• /
• 2015

Plagiarism in which people use other people's works partially or in entirety as if they are their own and infringement on copyrights that frequently occur in various forms under smart device environment are becoming one of the crucial problems that need to be solved for Korea to become an advanced nation. This paper investigates and analyzes how college students, the heaviest user of smart devices under various smart device environment, are committing plagiarism and copyright infringement and suggest a basic education plan to prevent plagiarism and copyright infringement. College students have a very low awareness of plagiarism and copyrights and the level of violation associated with plagiarism and copyrights infringement they commit from elementary school to college were found to be at a serious level. It was demonstrated that the solution suggested in this paper to solve these problems would be effective in enhancing the awareness of the bad effect of plagiarism and copyrights infringement along with their side effects.

• Journal of Information Processing Systems
• /
• v.18 no.3
• /
• pp.359-373
• /
• 2022

The new crown pneumonia (COVID-19) has become a global epidemic. The disease has spread to most countries and poses a challenge to the healthcare system. Contact tracing technology is an effective way for public health to deal with diseases. Many experts have studied traditional contact tracing and developed digital contact tracking. In order to better understand the field of contact tracking, it is necessary to analyze the development of contact tracking in the field of computer science by bibliometrics. The purpose of this research is to use literature statistics and topic analysis to characterize the research literature of contact tracking in the field of computer science, to gain an in-depth understanding of the literature development status of contact tracking and the trend of hot topics over the past decade. In order to achieve the aforementioned goals, we conducted a bibliometric study in this paper. The study uses data collected from the Scopus database. Which contains more than 10,000 articles, including more than 2,000 in the field of computer science. For popular trends, we use VOSviewer for visual analysis. The number of contact tracking documents published annually in the computer field is increasing. At present, there are 200 to 300 papers published in the field of computer science each year, and the number of uncited papers is relatively small. Through the visual analysis of the paper, we found that the hot topic of contact tracking has changed from the past "mathematical model," "biological model," and "algorithm" to the current "digital contact tracking," "privacy," and "mobile application" and other topics. Contact tracking is currently a hot research topic. By selecting the most cited papers, we can display high-quality literature in contact tracking and characterize the development trend of the entire field through topic analysis. This is useful for students and researchers new to field of contact tracking ai well as for presenting our results to other subjects. Especially when comprehensive research cannot be conducted due to time constraints or lack of precise research questions, our research analysis can provide value for it.

• Journal of Korea Technology Innovation Society
• /
• v.11 no.1
• /
• pp.91-117
• /
• 2008

The relationships between science, technology, and industry are very complicated and vary according to time. Thus, it would be almost impossible to combine the three categories in a single model. However, the linking of science, technology, and industry, which are divided according to their respective classification standards, is a starting point from which to understand how science and technology, technology and industry, and further science, technology, and industry are related to each other. Studies have been carried out to analyze the relationship between science and technology and between technology and industry, whereas no study has been undertaken to get an overall view of science, technology, and industry. Since an appropriate methodology or an analytical model has not been suggested, this paper proposes a model for generally analyzing science, technology, and industry. More specifically, this paper examines the methodology for linking science, technology, and industry. This paper uses citation analysis to analyze knowledge flow such as absorption and utilization of given knowledge, looks at the provision of knowledge to create new knowledge, and examines the use of network analysis to analyze the complicated phenomenon of knowledge flow. This paper proposes an empirical study of trend analysis of technological innovation by looking into a linkage structure of knowledge flow among science, technology, and industry based on the classification linkage and analysis methodology using scientific paper and patents.

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

• Herbal Formula Science
• /
• v.28 no.4
• /
• pp.351-363
• /
• 2020

Objectives : The purpose of this paper is to describe how Wu Kun(吳昆) understood Huangdineijing 『黃帝內經』 and implemented his understanding when writting Yifangkao 『醫方考』. Methods : From Yifangkao 『醫方考』, we collected all paragraphs including "經曰", "內經曰" while excluding the ones with "論曰" to filter out Sanghanlun 『傷寒論』's perspective. The contents of Huangdineijing·Suwen 『黃帝內經·素問』 and Huangdineijing·Lingshu 『黃帝內經·靈樞』, cited in Wu Kun's Yifangkao 『醫方考』 were extracted, identified from which part it comes and sorted into headings under RyuPyeon Huangjenaegyung 『類編黃帝內經』. Results : The most cited traditional chinese medical classic in Yifangkao 『醫方考』 was Huangdineijing·Suwen 『黃帝內經·素問』 Yinyangyingxiangdalun 「陰陽應象大論篇」 which was cited 41 times. Zhizhenyaodalun 「至眞要大論篇」 had a total of 39 citations followed by Shengqitongtianlun 「生氣通天論篇」 and Liuyuanzhengjidalun 「六元正紀大論篇」 which were cited 13 times and 11 times each. In addition, it was confirmed that other 28 chapters from Huangdineijing·Suwen 『黃帝內經· 素問』, 3 chapters from Huangdineijing·Lingshu 『黃帝內經·靈樞』, 3 chapters from Nanjing 『難經』 and one chapter from Zhenjiujiayijing 『鍼灸甲乙經』 were also cited. Also the analysis of the classification of the Huangdineijing·Suwen 『黃帝內 經·素問』 showed that 57 citations were classified as 'treatment', 41 citations were classified as 'Yin and Yang and Five phases', 39 citations were calssified as 'Cause and Mechanism of Disease'. Conclusion : 1. Yifangkao 『醫方考』 have explained prescriptions by implementing principles from 5 kinds of traditional chinese medical classic including Huangdineijing·Suwen 『黃帝內經·素問』, Huangdineijing·Lingshu 『黃帝內經·靈樞』 etc. 2. According to table 3, Yifangkao 『醫方考』 have cited Huangdineijing·Suwen 『』 to explain how each compounds were used and how the Korean medical principle of Yin and Yang was applied in the prescriptions. 3. It can be suggested in formula study there is utility to understand principles of traditional chinese medical classic to comprehend prescriptions.

• The Journal of the Korea Contents Association
• /
• v.18 no.2
• /
• pp.438-449
• /
• 2018

Recently, various graph data have been utilized in various fields such as social networks and citation networks. As the graph changes dynamically over time, it is necessary to manage the graph historical data for tracking changes and retrieving point-in-time graphs. Most historical data changes partially according to time, so unchanged data is stored redundantly when data is stored in units of time. In this paper, we propose a graph history storage management method to minimize the redundant storage of time graphs. The proposed method continuously detects the change of the graph and stores the overlapping subgraph in intersection snapshot. Intersection snapshots are connected by a number of delta snapshots to maintain change data over time. It improves space efficiency by collectively managing overlapping data stored in intersection snapshots. We also linked intersection snapshots and delta snapshots to retrieval the graph at that point in time. Various performance evaluations are performed to show the superiority of the proposed scheme.

• Proceedings of the Korea Technology Innovation Society Conference
• /
• 2006.11b
• /
• pp.323-337
• /
• 2006

Recently, several studies have been carried on knowledge flow of science, technology, industry to establish STI policy. Still it is in need of studies on relationship of science-industry although there have been studied only in aspect of science-technology relationship or technology-industry relationship. This paper's purpose is to propose method to measure knowledge flow among science, technology, and industry by means of patent citation by USPTO. After gathering knowledge flow data between science and technology through mapping citing patent and cited pater, it gets knowledge flows data between technology-industry by using OTC (OECD Technology Concordance), technology-industry mapping program. Based on these knowledge flow data, it examines knowledge flow science to industry by applying overlap function that is a network link weight function.

• Proceedings of the Korea Contents Association Conference
• /
• 2009.05a
• /
• pp.294-299
• /
• 2009

The studies were conducted constantly to detect emerging technology, in order to make sustainable growth of business and to make development of future nations. But there were many controversies because definition of emerging technology might be dependent of the subject's viewpoint and because it might be different to a point of time that emerging technology is applied to the present or the future. This paper sets times of emerging technology to the present and defines emerging technology as patents significantly used in developing current technology. US Patents and patent citation data were gathered from 1976 to 2007. We constructed hot patents pools that were utilized actively in developing new technologies regardless of times. We built a mapping table from IPC classification code to WIPO 32 technology category and analysed a half-life cycle according to specific technology groups.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.21 no.11
• /
• pp.2089-2094
• /
• 2017

Altmetrics is the measurement index and quantitative data to complement the traditional indicators based on the citation. Altmetrics research has acquired greater importance in the past few years, partly due to the complement to the traditional bibliometrics. This paper aims to reveal the research status and trends in altmetrics research. A total of 187 articles from 2005 to 2017 are obtained and analyzed, illustrating a steady rise (S-mode) in altmetrics research since 2005. Using social network analysis and co-word analysis, the author cooperation network and keyword co-occurrence network are developed. The core scientists and eight international research groups are discovered, reflecting that researchers in this field have a low degree of cooperation. Four topics of altmetrics research are discovered by hierarchical clustering. The results can be useful for the advanced research of altmetrics.