• Title/Summary/Keyword: 인용 데이터베이스

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Patent Citation Network Analysis as a Measure of Technical Knowledge Diffusion in Korea: Focusing on ICT (특허 인용 네트워크 분석을 통한 기술지식의 확산 경로 분석: 정보통신기술을 중심으로)

  • Choi, Byoung-Chul;Baek, Hyunmi;Kim, Myung Seuk
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.10 no.1
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    • pp.143-151
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    • 2015
  • Technology convergence, recently accelerated in various technical fields, can be achieved by discovering a new technology while exchanging the knowledge among the different technologies and utilizing such knowledge into the existing fields of technology. In particular, technology convergence actively occurs in knowledge-intensive ICT. However, limited research is available on the routes of ICT technical knowledge diffusion because of insufficient data. Therefore, this study built a database on the citations of patent data applied from 2006 to 2013 in Korea and their cited patents. We drew a patent citation network, a technology citation network and an applicant citation network, after which we analyzed the routes of technical knowledge diffusion. Results showed that ICT played a leading role in knowledge citation among technologies and that such diffusion took a shorter time in technology citation when it occurred more frequently and when the citation occurred between ICTs. In addition, most of the ICT showed a strong citation relationship with the other ICTs or such technologies in the field of physics or electricity, whereas electric elements (H01) showed various citation relationships with technologies other than ICT. Furthermore, we found a strong technology diffusion relationship between domestic corporations and domestic natural persons. National organizations often cited the patents of other applicants, whereas the patents of domestic corporations were actively cited between domestic corporations or by other applicants. Thus, this study is expected to be useful in measuring the performance of technologies, including the diffusion to other technologies. As well as in considering the routes of technical knowledge diffusion in Korea.

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A Study on the Intellectual Structure of Bibliographic Therapy by Ego-centered Topic Citation Analysis (자아 중심 주제 인용 분석에 의한 독서치료 주제 분야 지적구조에 관한 연구)

  • Chang, Yun-Mee
    • Proceedings of the Korean Society for Information Management Conference
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    • 2013.08a
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    • pp.37-41
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    • 2013
  • 본 연구의 목적은 국내 독서치료 주제 연구 문헌을 배출한 학문분야와 주요 연구 내용, 여기에 영향을 미친 문헌의 주제 분야를 도출하고 독서치료 주제 연구 문헌을 바라보는 타 문헌들의 시각을 통해 독서치료 주제 연구 문헌의 성격을 다각적으로 파악하는 것이다. 이를 위해 한국 학술지 인용색인 데이터베이스의 데이터를 활용하여 자아 중심 주제 인용 분석을 실행한 결과 독서치료 연구는 문헌 정보학계의 관련 연구를 토대로 하여 임상적 독서치료를 중심으로 이루어지고 있으며, 문헌정보학 외에 교육학 분야의 연구가 활발하고 유아 정서지능과 영화치료를 주제로 하는 문헌들에 응용되고 있음이 나타났다.

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Producing Top LIS Journal Paper List Based on the Yearly Citation Growth Rate (연간 인용 횟수 증가율에 기반한 문헌정보학 학술지 논문 목록의 순위화에 관한 연구)

  • Kim, Eungi
    • Journal of Korean Library and Information Science Society
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    • v.49 no.2
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    • pp.245-266
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    • 2018
  • This study proposes a novel method to rank highly-cited papers that incorporate the likelihood of receiving future citations. Instead of using the total citation count, the proposed method ranks most-papers based on the yearly citation growth rate (YCGR). The rank of YCGR can be obtained by calculating the average ranks of five individual citation related variables: 1) Total Citation Count, 2) Leftside-Slope, 3) Publication Year, 4) Peak Year, and 5) Rightside-Slope. To empirically test the proposed method, yearly citation counts with other relevant bibliographic records of the 50 most-cited papers in Library and Information Science (LIS) journals used in the study conducted by Walters and Wilder were collected from the Scopus database for the years 1996 to 2016. The result indicated that the YCGR appears to reflect the degree to which the paper is likely to receive future citations, and the ranked list based YCGR offered an alternative viewing feature of the highly-cited papers in LIS. Although more empirical analyses are needed, the rank based on YCGR in conjunction with variables related to YCGR can be used as an alternative method in recognizing influential papers in LIS.

Analysis of SCI Journals Cited by Korean Journals in the Computer field

  • Kim, Byungkyu;You, Beom-Jong;Kang, Ji-Hoon
    • 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.

IT vs. IT 맞수대결 - 안철수연구소 vs. 시만텍테크놀로지

  • Korea Database Promotion Center
    • Digital Contents
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    • no.11 s.114
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    • pp.82-89
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    • 2002
  • 보안업계 최대 화두인 '통합 보안 솔루션'을 내놓고 안철수연구소와 시만텍테크놀로지가 진검승부를 벌이고 있다. '안철수연구소'는 국내 토종 보안기업으로 절대강자의 자리를 고수하고 있다. 최근 본격적으로 중국과 일본 진출 전략을 수립하며, 세계 보안업체 열 번째 자리를 차지하겠다는 포부를 밝히고 있다. 시만텍테크놀로지는 IDC의 자료를 인용하여 2001년 전세계 보안 소프트웨어 시장의 12%를 차지한 1위 업체임을 밝힌 바 있다. 수년 전까만 해도 단순 안티바이러스 업체로 여겨지던 시만텍이 이렇게 세계 1위 보안솔루션업체로 성공할 수 있었던 요인은 무엇이었을까? 다국적기업인 시만텍과 토종기업인 안철수연구소를 찾아가 보았다.

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A Study on Utilization of Korea Science Citation Database(KSCD) Based on Data Mining Techniques (데이터마이닝 기술을 이용한 한국과학기술인용색인DB 활용 방안 연구)

  • Park, Jong-Hyun;Choi, Seon-Heui;Kim, Byung-Kyu
    • 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.

Evaluation of Korean Medical Journals: a Bibliometric Analysis (서지정보를 이용한 한국 의학학술지 평가)

  • 이춘실
    • Journal of the Korean Society for information Management
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    • v.17 no.1
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    • pp.49-65
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    • 2000
  • The availability and use (citedness) of Korean medical journals are measured based on the bibliometric data of 82 journals evaluated by the Korean Association of Medical Journal Editors between 1997 and 1999. A Korean medical journal is held on the average by one half of Korean medical libraries investigated. Only 10 journals (12.2%) are covered in any of 36 abstract and index databases in the field of medicine searchable through DIALOG. The journal self-citation rate is 3.402%. 1.092% of papers are cited at least once by SCI journal papers within 3 years after publication. The average SCI impact factor of Korean medical journals is 0.111, However, the impact factor of MEDLINE or SCISearch journals is 10 times higher. The results show that the Korean medical journals are not easily available domestically and internationally. They are hardly cited by Korean colleagues or by foreign scholars either.

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Domestic and international trend analysis of highly cited patents based on DWPI (Derwent World Patent Index) (세계 특허를 이용한 고피인용 특허의 국내외 동향 분석)

  • Kwon, young-il;Lee, hyuck-jai;Lee, chang-hoan
    • Proceedings of the Korea Contents Association Conference
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    • 2008.05a
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    • pp.813-818
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    • 2008
  • Highly cited patents (HCPs) were selected from the patents published from 2002 to 2006. Citation frequencies of patents were obtained from the database provided by DWPI and were analyzed with respect to the IPC (International Patent Classifications). HCPs were selected as those who occupy top 1% of citations in the sets of patents given by IPCs and publication year. After selecting the HCPs their distribution over IPCs, Industrial Classifications and patent assignees' nationalities were analyzed. According to the result the US held 5,634 patents (66.9%) out of the total 8,416 patents occupying the the first rank in the distribution of patent assignees' nationalities. Japan and Germany ranked the 2nd and 3rd place holding 885 (10.5%) and 521 (6.2%) HCPs, respectively. On the other hand, Korea were positioned at 6th holding 151 (1.8%) HCPs. Among the industrial sectors classified by the Industrial Classifications provided by the Korean Intellectual Property Office, Manufacturing Sector occupied the 1st place with 7,692 HCPs (81.7%) and Waste Treatment Sector occupied the 2nd place with 578 HCPs (5.9%).

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Analysis of Wikipedia Citations in Peer-Reviewed Journal Articles (학술논문에서의 위키피디아 인용에 관한 연구)

  • Shim, Wonsik;Byun, Jeayeon;Kim, Minjung
    • Journal of the Korean Society for Library and Information Science
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    • v.47 no.2
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    • pp.247-264
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    • 2013
  • Wikipedia represents a revolutionary experiment in the sense that it allows anonymous Internet users to contribute, change, and edit Encyclopedia contents used by tens of millions of people. While a very popular information source on the Internet, because of its questionable information credibility and accuracy, citing Wikipedia articles is being regarded as a risky behavior for scholars. The present study identified 282 scholarly articles from Thomson Reuters' Web of Science citation database that cite Wikipedia at least once. Out of the millions of articles indexed in Web of Science, the proportion of articles citing Wikipedia is extremely small. On the other hand, the numbers are showing a marked increase since 2011. Wikipedia citing articles are distributed in subject areas, such as library and information science, business, psychology, education, and communication more often than in other areas. The distribution of a total of 577 citations from 267 articles for which we were able to obtain full texts shows that Wikipedia is being cited mainly in studies of Wikipedia (139 citations, 24.1%) or as a ready reference source (331 citations, 57.4%). At the same time, about 15% of total citations turned out to be cases of potentially risky behaviors in which Wikipedia is being cited as a crucial basis or data source for study.

데이터베이스 모델링에 의한 효과와 고객세분화

  • Jeon Hui-Ju;Kim Tae-Jin
    • Proceedings of the Korean Statistical Society Conference
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    • 2000.11a
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    • pp.1-4
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    • 2000
  • 상위 $20\%$의 우량고객이 기업수익의 $80\%$를 기여한다는 파레토 법칙을 인용하지 않더라도 고객이 원하는 상품과 서비스를 지속적으로 제공함으로써 고객과의 지속적인 관계를 통한 고객과의 지속적인 관계유지, 특히 우량고객의 확보, 유지는 기업의 수익증대에 깊은 관계가 있으며 결국 기업의 생존을 가늠하는 길이 될 것이다. 최근에는 금융권간 업무영역이 무너지면서 모든 금융기관들은 우수고객 확보를 위해 영업력을 집중시키고 있다. 특히 수익기여도가 높은 우수고객에 대해서는 차별적인 우대서비스를 명시적으로 규정하고 우량고객 확보를 위한 생존을 건 경쟁이 벌어지고 있다. 따라서 우량고객은 자료를 통한 객관적이고 합리적 기준에 의해 확보되어야 한다. 본 연구에서는 이에 대한 방법론으로서 데이터베이스 모델링을 제시하며, 그 효과를 측정하도록 하고, 고객 속성에 따른 고객세분화에 이용될 수 있음을 보여준다.

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