• Title/Summary/Keyword: Citation Database

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A Study on Developing a Metadata Search System Based on the Text Structure of Korean Studies Research Articles (한국학 연구 논문의 텍스트 구조 기반 메타데이터 검색 시스템 개발 연구)

  • Song, Min-Sun;Ko, Young Man;Lee, Seung-Jun
    • Journal of the Korean Society for information Management
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    • v.33 no.3
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    • pp.155-176
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    • 2016
  • This study aims to develope a scholarly metadata information system based on conceptual elements of text structure of Korean studies research articles and to identify the applicability of text structure based metadata as compared with the existing similar system. For the study, we constructed a database(Korean Studies Metadata Database, KMD) with text structure based on metadata of Korean Studies journal articles selected from the Korea Citation Index(KCI). Then we verified differences between KCI system and KMD system through search results using same keywords. As a result, KMD system shows the search results which meet the users' intention of searching more efficiently in comparison with the KCI system. In other words, even if keyword combinations and conditional expressions of searching execution are same, KMD system can directly present the content of research purposes, research data, and spatial-temporal contexts of research et cetera as search results through the search procedure.

Citing Behavior of Korean Scientists on Foreign Journals in KSCD (KSCD를 활용한 국내 과학기술자의 해외 학술지 인용행태 연구)

  • Kim, Byung-Kyu;Kang, Mu-Yeong;Choi, Seon-Heui;Kim, Soon-Young;You, Beom-Jong;Shin, Jae-Do
    • Journal of the Korean Society for information Management
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    • v.28 no.2
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    • pp.117-133
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    • 2011
  • There have been little comprehensive research for studying impact of foreign journals on Korean scientists. The main reason for this is because there was no extensive citation index database of domestic journals for analysis. Korea Institute of Science and Technology Information (KISTI) built the Korea Science Citation Database (KSCD), and have provided Korea Science Citation Index (KSCI) and Korea Journal Citation Reports (KJCR) services. In this article, citing behavior of Korean scientists on foreign journals was examined by using KSCD that covers Korean core journals. This research covers (1) analysis of foreign document types cited, (2) analysis of citation counts of foreign journals by subject and the ratio of citing different disciplines, (3) analysis of language and country of foreign documents cited, (4) analysis of publishers of journals and whether or not journals are listed on global citation index services and (5) analysis for current situation of subscribing to foreign electronic journals in Korea. The results of this research would be useful for establishing strategies for licensing foreign electronic journals and for information services. From this research, immediacy citation rate (average 1.46%), peak-time (average 3.9 years) and half-life (average 8 years) of cited foreign journals were identified. It was also found that Korean scientistis tend to cite journals covered in SCI(E) or SCOPUS, and 90% of cited foreign journals have been licensed by institutions in Korea.

A Study on the Citation Behavior by Academic Background of Researchers (전문연구자의 학문배경에 따른 인용행태에 관한 연구)

  • Oh, Yu-Jin;Oh, Hyo-Jung;Kim, Chong-Hyuck;Kim, Yong
    • Journal of the Korean Society for information Management
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    • v.33 no.1
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    • pp.247-268
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    • 2016
  • Although it has been a long subject of study why researchers prefer some cited documents to others, the existing relative researches have had a variety of perspectives on the nature and complexity of the citation behavior and not provided a complete answer to this question. In particular, Korea researchers mainly used statistical analysis of bibliographic information, which has limitations in revealing dynamic and complex cognitive aspects of the citation process. In this study, I investigate the citer perception of citing motives and bibliographic factors through survey and compared the responses according to the researchers' characteristics. After extracting the 22 motivations and 21 factors through the literature analysis and configuring a 5-point Likert scale questions, I conducted a survey in the wat of an e-mail attachment. From the SPSS 22.0, the frequency analysis, t-test, and one-way ANOVA were performed on the 354 valid samples. As a result, it is found that supporting is considered the most important citing motive and social connection, self-citation have little influence. In the case of bibliographic factors, the journal's reputation was recognized the most influential factor and the number of pages and authors was the least. Significant differences in fields of study and research careers were showed in some parts. These results can substantiate earlier studies, determine whether the factors assumed influential in selecting references were intended, and suggest the search point to the specialty library or academic database.

A Study on the Measurement of Technological Impact using Citation Analysis of Patent Information (특허정보분석을 이용한 기술파급효과 측정에 관한 연구)

  • Yoo, Sun-Hi;Lee, Yong-Ho;Won, Dong-Kyu
    • Journal of Korea Technology Innovation Society
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    • v.10 no.4
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    • pp.687-705
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    • 2007
  • Nowadays it is more important to measure the technological impact of a concerned R&D technology on others, when deciding or selecting strategically, under the environment such as more complex, more uncertain and more costly. But there was very few of proper methods to measure quantitatively. So we studied on measuring the technological impact of one group of technologies on others, which means the flow of disembodied knowledge, using patent citation analysis. We reviewed the prior art of the measurement of technological impact, and designs the effective citation analysis method using patent information, analyzing the prior art of patent citation analysis method and ie index. Finally, we developed the disembodied knowledge flow matrix between technology groups, counting citation frequencies between them, using KISTI's US patent database(USPA) and the index to represent the technological impact to others using the developed matrix as well as the intrinsic nature of the technological groups clustering by network analysis. The results of this study is to present the insight of a technological impact on the others quantitatively and this study aims at using them to refer to R&D budgeting and decision making in case of R&D planning or to the basic information to understand technology conversion or fusion.

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Design of Integrated Portal Service System for Creation of High Quality Scientific and Technologic Academic Information (고품질 과학기술 학술정보 생산을 위한 종합 포털 서비스 체계의 설계)

  • Jeong, Hee-Seok;Park, Jae-Won;Lee, Yang-Sun
    • Journal of Korea Multimedia Society
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    • v.12 no.11
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    • pp.1530-1538
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    • 2009
  • KISTI-ACOMS ver. 2.0 has been distributed to more than 340 academic societies and used by more than 130 academic societies for 4 years since 2005 and still is desired for use by lots of other academic societies. But contrary to the desire and requests for system upgrades of academic societies, ACOMS has not been improved for last 3 years and some academic societies began to use domestic or foreign similar pay online peer review systems. In this paper, a new integrated portal service system is suggested in order to attempt national production cost-saving and quality improvement of academic information by creating and collecting high quality scientific and technologic academic information inexpensively. We come up with methodology of integration and utilization of a personal academic activity portal system interoperable with other services of KISTI, an open citation reference database automatically constructed by authors' activity and a journal evaluation system based on impact factor.

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Bibliometric Analysis of Traditional Korean Medical Journals Registered with the National Research Foundations of Korea (한국연구재단에 등재된 한의학 학술지에 대한 계량서지학적 비교분석 연구)

  • Yea, Sang-Jun;Kim, Chul;Kim, Sang-Kyun;Jang, Hyun-Chul;Kim, Jin-Hyun;Jeon, Byoung-Uk;Jang, Yun-Ji;Seong, Bo-Seok;Song, Mi-Young
    • The Journal of Korean Medicine
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    • v.32 no.5
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    • pp.66-77
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    • 2011
  • Objectives: This study aimed to make preliminary data through the bibliometric analysis of journals registered by national research foundations of Korea for the improvement of traditional Korean medical (TKM) journals. Methods: We collected 4,396 articles from the OASIS database, which is composed of articles published by TKM societies and institutes. First, we analyzed the 'authors by year', 'average authors per article', 'articles by institute' and 'authors by institute' to get the author-related conditions. Second, we analyzed the 'reference type', 'cited times', 'IF with self citation' and 'IF without self citation' to get the citation condition. Results: First, we found that the journal order of total authors was KAOOMP (2362), KOMS (1189), and KAMS (967), and of average authors per article was KAMS (5.29), KOIMS (5.25), and KOMS (4.75). Second, we learned that the journal order of occupied article ratio by high rank institutes was SCMS (92.4%), MAS (90.03%), and KOPS (87.22%) and of occupied author ratio by high rank institutes was KOPMS (96.55%), MAS (95.19%), and SCMS (93.85%). Third, we analyzed the most highly cited reference type by journals and we found that OMCS was books, SCMS was oriental medical journals and the other 10 journals were not oriental medical journals. Finally, we observed that the journal order of self citation ratio was SCMS (16.79%), KMAS (11.77%), and OOGS (11.67%) and also that the IF order was KAMS (0.675), OOGS (0.546), and KAOH (0.430). Conclusions: Through this study we found that TKM research leans too much toward on oriental medical universities, so we insist that TKM R&D institutes must be expanded. We also found that the self citation ratio was high in TKM journals, so the ratio must be decreased to improve the quality of the TKM journals.

A Study on the global trend of international collaborations in the field of Computer Science and collaboration strategies for Korea (컴퓨터과학 분야 국제 공동연구의 세계적 추세 및 한국의 협력 방안 연구)

  • Kang, Hye-Jin;Shim, We;Noh, Kyung-Ran;Kwon, Oh-Jin
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.8
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    • pp.955-964
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    • 2014
  • The more importance of international collaboration has increased, the more studies on statues of international collaboration are increasing. However, few studies have attempted to identify the international collaboration. This article aims at a multidirectional characterization of the international collaboration in the field of Computer Science by analysis of articles published in the SCOPUS database. We applied Probabilistic Affinity Index(PAI) and Indicator of Collaboration Strength(ICS) for measuring the intensity of scientific collaboration among countries, and index of Incremental Citation Impact(ICI) for measuring the quality of international collaboration. These analyses identify the trends of international collaboration in the field of Computer Science and it's effect by nation.

A Study on the Optimization of Semantic Relation of Author Keywords in Humanities, Social Sciences, and Art and Sport of the Korea Citation Index (KCI) (한국학술지인용색인(KCI)의 인문학, 사회과학, 예술체육 분야 저자키워드의 의미적 관계 유형 최적화 연구)

  • Ko, Young Man;Song, Min-Sun;Lee, Seung-Jun
    • Journal of the Korean Society for Library and Information Science
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    • v.49 no.1
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    • pp.45-67
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    • 2015
  • The purpose of this study is to analyse the semantic relations of terms in STNet, a structured terminology dictionary based on author keywords of humanities, social sciences, and art and sport in the Korea Citation Index (KCI) and to describe the procedure for optimizing the relation types and specifying the name of relationships. The results indicate that four logical criteria, such as creating new names for relationships or limitation of typing the relationship by the appearance frequency of same type, consideration of direction of relationship, reflection to accept the existing name of relationships, are required for the optimization of the typing and naming the relationships. We applied these criteria to the relationships in the class "real person" of STNet and the result shows that 1,135 out of 1,743 uncertain relationships such as RT, RT_X or RT_Y are specified and clarified. This rate of optimization with ca. 65% represents the usefulness of the criteria applicable to the cases of database construction and retrieval.

Improving the Perfectionism Index to Identify Influential Journals versus Mass Producers (완벽주의 지수 PI의 개량을 통한 유력 학술지와 대량생산 학술지의 구분)

  • Lee, Jae Yun
    • Journal of the Korean Society for information Management
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    • v.36 no.2
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    • pp.201-222
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    • 2019
  • The Perfectionism Index (PI) is an indicator that is recently proposed to distinguish influential researchers from mass producers. In this study, Near Perfectionism Index (NPI), an improved indicator of Perfectionism Index, can be a solution to the problem of PI that indiscriminately gives a penalty to all low-cited papers regardless of publishing time or other issues. NPI improved the method to give a penalty to tail complement area considering the citation distribution curve. It prevents the improvement of the h-index from adversely affecting the researcher's influence indicator. This study uses NPI to evaluate information and library science journals in Web of Science database. It successfully distinguishes between influential journals and mass producers unlike journal h-index or average citation frequency which could not differentiate influentials from mass producers.

The Global Publication Output in Augmented Reality Research: A Scientometric Assessment for 1992-2019

  • Gupta, B.M.;Dhawan, S.M.
    • International Journal of Knowledge Content Development & Technology
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    • v.10 no.2
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    • pp.51-69
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    • 2020
  • This paper describes global research in the field of augmented reality (22078) as indexed in Scopus database during 1992-2019, using a series of bibliometric indicators. The augmented reality (AR) research registered high 54.23% growth, averaged citation impact of 8.90 citations per paper. Nearly 1% of global output in the subject (226 papers) registered high-end citations (100+) per paper. The top 15 countries accounted for 87.05% of global publications output in the subject. The USA is in leadership position for its highest publications productivity (19.25% global share). The U.K. leads the world on relative citation index (2.05). International collaboration has been a major driver of AR research pursuits; between 11.89% and 44.04% of national share of top 15 countries in AR research appeared as international collaborative publications. AR research productivity by application types was the largest across sectors, such as education, industry and medical. Computer science has emerged as the most popular areas in AR research pursuits. Technical University of Munich, Germany and Osaka University, Japan have been the most productive organizations and Nara Institute of S&T, Japan (66.55 and 7.48) and Imperial College, London, U.K. (57.14 and 6.42) have been the most impactful organizations. M. Billinghurst and N. Navab have been the most productive authors and S. Feiner and B. MacIntyre have been the most impactful authors. IEEE Transactions on Visualization & Computer Graphics, Multimedia Tools & Applications and Virtual Reality topped the list of most productive journals.