• 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.

• Proceedings of the Korean Society for Information Management Conference
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• 2012.08a
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• pp.125-128
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• 2012

KSCD(Korea Science Citation Database)를 기반으로 국내 과학학술지 논문에 대한 인용색인을 구축하였으나, 국내 학술지에 대한 인용현황만으로는 연구자들이 원하는 자신들의 논문의 인용현황을 포괄적으로 알기 어려우므로 해외 인용현황을 알기 원하는 요구에 부응하기 위해, WOS의 API를 활용한 인용현황 서비스를 구현하였다. 이에 기반하여 그 결과에 대한 데이터 분석을 수행하고 국내연구자의 SCI 전체 논문 분석결과와 비교하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.376-378
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• 2018

한국의 과학기술정보 유통 및 분석 전문기관인 한국과학기술정보연구원(KISTI)은 동북아시아 국가들간의 정보 협력과 국제 협력을 위하여 오랜기간 일본과 중국의 정보 유통 전문기관들인 JST와 ISTIC과 함께 CJK(Chinese, Japanese, Korean) 국제회의와 연구협력을 지속해오고 있다. 본 논문에서는 이들 국가간 인용정보를 매개로 하는 새로운 학술정보의 개발을 위한 기초 연구를 수행하여, KSCD 참고문헌에 출현하는 일본 및 중국의 고인용 학술지와 양국간 주제분야별 인용특성을 살펴보고 응용 서비스 사례를 제시하였다.

• Proceedings of the Korean Society for Information Management Conference
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• 2015.08a
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• pp.61-65
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• 2015

KISTI는 학술정보 데이터베이스 구축 및 서비스의 대표기관으로서 학회, 협회와의 지속적인 협력관계를 통하여 체계적인 정보화 인프라, 종합적인 학술정보 유통체제를 구축하고 있다. OCEAN은 학술정보의 효율적 관리, 편리한 검색 서비스 제공을 위하여 개발된 KISTI의 KSCD 통합관리시스템이다. 2007년 개발 이후, 정보기술 환경의 변화와 업무프로세스 개선 등을 고려하여 기존 시스템을 토대로 최신 프레임워크 도입, 데이터베이스 스키마 재설계 등 재개발의 필요성이 대두되었으며, 이에 현재 진행하고 있는 OCEAN 재개발의 주안점을 중심으로 KSCD 통합관리시스템 설계 및 구현 방향에 관하여 소개하고자 한다.

• Journal of the Korean Society for information Management
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• v.28 no.2
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• pp.97-115
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• 2011

A large and reliable citation database is necessary to identify and analyze citation behavior of Korean researchers in science and technology. 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 Korean journals was examined by using the KSCD that covers 459 Korean core journals. This research dealt with (1) statistical numeric information of journals in KSCD, (2) analysis of document types cited, (3) ratio of domestic to international documents cited and ratio of citing different disciplines, (4) analysis on immediacy index, peak time, and half-life of cited documents, and (5) analysis on impact of journals based on KJCR citation indicators. From this research, we could find the immediacy citation rate (average 2.36%), peak-time (average 1.7 years) and half-life (average 5.2 years) of cited journals in Korea. We also found that the average journal self-citation rate is more than 50% in every field. In sum, citing behavior of Korean scientists on Korean journals was comprehensively identified from this research.

• 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.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.4-6
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• 2017

학술정보 통합관리시스템 OCEAN(Online Collaborator for society & Association Network of KISTI)은 학회정보화지원사업의 일환으로 학술정보를 통합관리하기 위해 2007년부터 사용된 통합관리 시스템이다. 구 OCEAN은 Struts2 프레임워크 기반으로 설계되어, 노후화된 프레임워크는 끊임없는 유지보수에도 급변하는 정보기술 환경에 낙후되었고, 보안적 측면 및 신규 기능 구현에 어려움이 있어 2차년도(2015~2016)에 걸친 시스템 재정비를 통해 최신 프레임워크를 적용하여 신규 시스템 설계하고 구축하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1628-1631
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• 2012

대학교의 논문 발표 현황 및 피인용 횟수는 오늘날 대학교를 평가하는데 있어 중요한 지표 중 하나이다. 본 논문은 국내 대학교 중 KAIST를 선정하여 논문 실적을 분석함으로써 대학교의 연구 활동에 대해 분석하였다. 분석한 지표는 학과별 논문 발표 수, 피인용 횟수로 평가한 논문 순위, 활동성이 높은 학술지, 협업기관으로 각 지표들은 주 저자 기준이다. 이러한 결과는 향후 국내 대학교 간의 대학교 평가 체계에 적용될 수 있으며, 연구 활동 분석을 통해 각 대학교들은 자체적으로 실적 평가 및 연구 정책 설정 등을 할 수 있을 것이라 기대한다.

• Journal of Information Management
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• v.43 no.3
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• pp.23-41
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• 2012

Citation analysis studies have reported many problems associated with data coverage problems common to popular citation databases such as Web of Science(WoS). In addition, the studies that analyzed citation patterns of Korean publications found that up to 75% of references in Korean publications were to international publications. As a first step in investigating the international coverage of WoS database, the study investigated the effect of adding citation data from Korea Science Citation Database(KSCD) to the impact factors and journal rankings of the journals listed in Journal Citation Reports. Specifically, the study mined the reference data from top 5 Korean Library and Information Science(KLIS) journals to recompute the impact factors reported in JCR 2009. Since the resulting journal rankings did not significantly differ from JCR 2009 rankings except for minor ranking changes, we analyzed additional citation data from 45 computer science and electrical engineering journals. Although the overall ranking difference was not statistically significant, one of the ranking partitions showed significant change. Such study findings despite its limited data sample suggest the potential impact of non-Western citation databases such as KSCD to bibliometric indicators provided by popular citation databases like WoS.

• 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.