• Journal of Information Management
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• v.43 no.4
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• pp.191-210
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• 2012

Scholarly science citation data is typically of large volume and consists of a variety of data. Moreover, the volume of data is increasing more and more. Therefore, there are some requirements to store and manage the data efficiently and Korea Institute of Science and Technology Information (KISTI) develops Korea Science Citation Database (KSCD) which manage and serve very large-volume of korea science technique information including citation data. However, current services based on KSCD are not enough for various users. Thus, it is important issue to offer a variety of services using KSCD. For example, if a user searches articles described by a specific author, then a user may want to find not only the articles cited by a certain author but also those articles that study similar topics. However, it is not always easy to provide these services with citation data. Therefore, this paper surveys studies about services using citation data in order to find approaches for better utilizing KSCD. Especially, this paper considers data mining techniques, because data mining is one of the main techniques to extracting semantic information from big data. Therefore, this paper discusses methods for utilizing large volume of KSCD based on data mining technique.

• Journal of Information Science Theory and Practice
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• v.2 no.1
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• pp.35-47
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• 2014

Korean researchers' scientific outputs are increasing rapidly with the growth of both Korea's economy and industry size. This is the time to analyze the scientific output (STEM area) of Korea over the last 40 years. For this analysis, this study used the SCIE database of Web of Science (WoS), which is a representative global Citation Index Service. The objects of analysis are every Korean document published in the SCIE journal, and the research scopes are (1) analysis of citation and subject categories and (2) analysis of co-authorship. Through this study, characteristics such as cited trend and research trend by subject, and the status of collaboration between Korea and other countries including the 50 states of the USA were revealed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.34-47
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• 2018

As interest in advanced countries regarding the convergence technology development increases, a methodology for identifying the core convergence technology that has a large spill-over effect on the technology and industry is required for the nation's competitiveness enhancement in the convergence technology field. Based on patent citation network analysis using 1,124 USPTO patents in the ICT convergence technology field of the smart factory, this study examined the proposed heterogeneous technology convergence index as a tool for measuring the convergence characteristics of the spillovers compared to other indexes (i.e. other sector ratio index and homogeneous technology convergence index). The proposed heterogeneous technology convergence index was used to investigate core technology sectors among ICT technology sectors of smart factory identified by government ministries. Results found 6 core ICT convergence technology sectors including the manufacturing execution analysis application sector. Also, this study conducted blockmodeling analysis using the IPC codes of patents in the manufacturing execution analysis application sector, and identified that the blocks representing the electronic communication and electric digital data processing technology sectors (Block 3 & 4) are related technology sectors which can be converged with core technology. Based on the findings, the implications for the convergence technology development planning of the smart factory field are discussed.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.657-661
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• 2006

오늘날 지식기반사회에서 새로운 과학의 출현이 새로운 산업으로 확산되어 국가경쟁력에 이바지하고 있다. 일반적으로 논문을 통한 연구는 과학을 대변하고, 기술은 특허로 대체되는 것으로 인지하고 있다. 현재 과학은 SCI 의 인용색인 데이터를 바탕으로 각 문헌에 대한 인용통계정보를 제공하는 저널평가 테이터베이스인 JCR을 활용하여 분석하고 평가, 파악하고 있는 실정이다. 과학기술 분야의 누적된 논문수, 인용횟수, 연구자 분석 등 다양하게 적용할 수 있다. 반면 특허는 전체 출원, 등록건수 등 국가의 거시적인 흐름을 평가하는 수단으로는 주로 활용되어지고 있으나 정보소스의 한계나 분석시의 한계로 인하여 다양한 분석이 활용되기 어려운 실정이다. 인용정보로서 활용시 이를 위한 과도한 전처리 작업이 요구되며, 분석이 번거롭고 용이하지 않는 현실이므로 다양하게 분석시 사용하기가 어렵다. 이를 활용하여 문헌에 적용된 분석을 활용하여 새로운 고부가 정보를 제안해 보고자 한다.

• Journal of Korea Technology Innovation Society
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• v.14 no.4
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• pp.915-936
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• 2011

The purpose of this study is to conduct an in-depth analysis of the effect of support on the quality of research. Involved in this study were two areas of studies, namely; engineering and natural science and the respondents were accordingly selected among those who majored in the studies. The findings of the research are summarized as follows; The timely support for the research had a positive effect in rasing the quality of research to KCI and SCI. Granting that there are differences in the effect of support on research quality depending on the areas of studies, it is essential that the process of formulating support policies take into account the characteristics of the area of study.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.127-139
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• 2013

With an advent of recent knowledge-based society, the interest in intellectual property has increased. Firms have tired to result in productive outcomes through continuous innovative activity. Especially, ICT firms which lead high-tech industry have tried to manage intellectual property more systematically. Firm's interest in the patent has increased in order to manage the innovative activity and Knowledge property. The patent involves not only simple information but also important values as information of technology, management and right. Moreover, as the patent has the detailed contents regarding technology development activity, it is regarded as valuable data. The patent which reflects technology spread and research outcomes and business performances are closely interrelated as the patent is considered as a significant the level of firm's innovation. As the patent information which represents companies' intellectual capital is accumulated continuously, it has become possible to do quantitative analysis. The advantages of patent in the related industry information and it's standardize information can be easily obtained. Through the patent, the flow of knowledge can be determined. The patent information can analyze in various levels from patent to nation. The patent information is used to analyze technical status and the effects on performance. The patent which has a high frequency of citation refers to having high technological values. Analyzing the patent information contains both citation index analysis using the number of citation and network analysis using citation relationship. Network analysis can provide the information on the flows of knowledge and technological changes, and it can show future research direction. Studies using the patent citation analysis vary academically and practically. For the citation index research, studies to analyze influential big patent has been conducted, and for the network analysis research, studies to find out the flows of technology in a certain industry has been conducted. Social network analysis is applied not only in the sociology, but also in a field of management consulting and company's knowledge management. Research of how the company's network position has an impact on business performances has been conducted from various aspects in a field of network analysis. Social network analysis can be based on the visual forms. Network indicators are available through the quantitative analysis. Social network analysis is used when analyzing outcomes in terms of the position of network. Social network analysis focuses largely on centrality and structural holes. Centrality indicates that actors having central positions among other actors have an advantage to exert stronger influence for exchange relationship. Degree centrality, betweenness centrality and closeness centrality are used for centrality analysis. Structural holes refer to an empty place in social structure and are defined as efficiency and constraints. This study stresses and analyzes firms' network in terms of the patent and how network characteristics have an influence on business performances. For the purpose of doing this, seventy-four ICT companies listed in S&P500 are chosen for the sample. UCINET6 is used to analyze the network structural characteristics such as outdegree centrality, betweenness centrality and efficiency. Then, regression analysis test is conducted to find out how these network characteristics are related to business performance. It is found that each network index has significant impacts on net income, i.e. business performance. However, it is found that efficiency is negatively associated with business performance. As the efficiency increases, net income decreases and it has a negative impact on business performances. Furthermore, it is shown that betweenness centrality solely has statistically significance for the multiple regression analysis with three network indexes. The patent citation network analysis shows the flows of knowledge between firms, and it can be expected to contribute to company's management strategies by analyzing company's network structural positions.

• Journal of Information Processing Systems
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• v.7 no.2
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• pp.341-354
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• 2011

Analyzing the relationships among the parameters for quantifying the quality of research published in journals is a challenging task. In this paper, we analyze the relationships between the impact factor, h-index, and g-index of a journal. To keep our analysis simple and easy to understand, we consider a generalized version of the impact factor where there is no time window. In the absence of the time window, the impact factor converges to the number of citations received per paper. This is not only justified for the impact factor, it also simplifies the analysis of the h-index and g-index as well because addition of a time window in the form of years complicates the computation of indices too. We derive the expressions for the relationships among impact factor, h index, and g-index and validate them using a given set of publication-citation data.

• Asian Journal of Innovation and Policy
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• v.6 no.1
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• pp.85-93
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• 2017

This paper focuses on the relationship between the characteristics of network and the productivity of scientists, which is rarely examined in previous studies. Utilizing a unique dataset from the Korean Citation Index (KCI), we examine the overall characteristics of the research network (e.g. distribution of nodes, density and mean distance), and analyze whether the network centrality is related to the scientific productivity. According to the results, firstly we have found that the collaborative research network of the Korean academics in the field of statistics and computer science is a scale-free network. Secondly, these research networks show a disciplinary difference. The network of statisticians is denser than that of computer scientists. In addition, computer scientists are located in a fragmented network compared to statisticians. Thirdly, with regard to the relationship between the researchers' network position and scientific productivity, a significant relation and their disciplinary difference have been observed. In particular, the degree centrality is the strongest predictor for the scientists' productivity. Based on these findings, some policy implications are put forward.

• Journal of Information Science Theory and Practice
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• v.7 no.1
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• pp.6-16
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• 2019

This study explored journal publishing and authorship by South Korean early career researchers (ECRs) in the field of library and information science (LIS). This research analyzed relevant journal publication data and conducted interviews to obtain information on the experiences and opinions of ECRs. Results indicated that South Korean ECRs in LIS were highly productive. This was evidenced by their annual publishing rate of 2.04 articles per person. In addition, Social Science Citation Index (SSCI) publications were produced at an annual average of 0.26 articles per person, while the quartile ratings for SSCI journal publications were also relatively high. However, unlike the trends seen in other academic fields, their collaborative research efforts were not considered very high because such efforts did not correspond to half their total publications. ECRs often participate as lead or corresponding authors despite being new researchers. ECRs are publishing first in the journals approved by their universities. These researchers cannot receive proper credit if the journal was not approved in this manner. ECRs are particularly disadvantaged when publishing in international journals corresponding to specific areas that are not on the SSCI list. By examining the journal publishing and authorship efforts of ECRs, this study discovered a variety of difficulties that should be addressed. For example, South Korean universities do not currently have cooperative research guidelines to solve authorship problems. The results from this study can serve as a basis to establish academic publishing and authorship policies while promoting scholarly communication in LIS and other scientific fields.

• Journal of the Korea Society of Computer and Information
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• v.24 no.11
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• pp.79-86
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• 2019

It is very important to analyze and provide information resources for research output produced in the computer field, the core science of the 4th Industrial Revolution. In this paper, SCI journals cited from domestic journals in the computer field were identified and the citation rankings and their co-citation networks were generated, analyzed, mapped and visualized. For this, the bibliographic and citation index information from 2015 to 2017 in the KSCD were used as the basis data, and the co-citation method and network centrality analysis were used. As a result of this study, the number of citations and the citation ranks of SCI journals and papers cited by korean journals in the computer field were analyzed, and peak time(2 years), half-life(6.6 years), and immediacy citation rate(2.4%) were measured by citation age analysis. As a result of network centrality analysis, Three network centralities(degree, betweenness, closeness) of the cited SCI journals were calculated, and the ranking of journals by each network centrality was measured, and the relationship between the subject classifications of the cited SCI journals was visualized through the mapping of the network.