Korea Institute Of Science And Technology Information Research Articles

Citation Analysis on South Korea S and T Journals in 2014

Objectives: Korea Institute of Science and Technology Information (KISTI) has produced Korea Science Citation Index (KSCI) and has published Korea Journal Citation Reports (KJCR) since 2002. This study was aimed to explore various citation indicators between journals by employing network analysis based Korea Science Citation Database (KSCD). Methods/Statistical Analysis: This study used KSCD (KJCR 2014 coverage) for citation analysis on Korean S&T Journals in 2014. KJCR followed the same model like JCR and is calculated, based on articles in recent 3 years and references in recent one year. Specifically, there are 700 titles of journals for KJCR 2014. Findings: This study analyzes the most recently published KJCR in 2015 and 2014 and suggests the reference’s composition of data type as well as the high rank journals with the yearly trend of main citation index and each fields of citation index. In addition, this paper suggests citation map among the whole journals and classified by subjects through citation network analysis. Through this study, various citation trends of Korea ST journals was revealed, Specifically each journal’s and classified subject’s citation relation through network analysis and composition of citation map. Improvements/Applications: Inter Citation Network Map were produced based on journals in KJCR 2014.

E-Science Paradigm for Astroparticle Physics at KISTI

The Korea Institute of Science and Technology Information (KISTI) has been studying the e-Science paradigm. With its successful application to particle physics, we consider the application of the paradigm to astroparticle physics. The Standard Model of particle physics is still not considered perfect even though the Higgs boson has recently been discovered. Astrophysical evidence shows that dark matter exists in the universe, hinting at new physics beyond the Standard Model. Therefore, there are efforts to search for dark matter candidates using direct detection, indirect detection, and collider detection. There are also efforts to build theoretical models for dark matter. Current astroparticle physics involves big investments in theories and computing along with experiments. The complexity of such an area of research is explained within the framework of the e-Science paradigm. The idea of the e-Science paradigm is to unify experiment, theory, and computing. The purpose is to study astroparticle physics anytime and anywhere. In this paper, an example of the application of the paradigm to astrophysics is presented.

고성능 컴퓨팅 기반 디지털매뉴팩처링 교과목의 산·학·연 협력 운영에 관한 사례연구

Digital manufacturing (DM) technology helps engineers design products promptly and reliably at low production cost by simulating a manufacturing process and the material behavior of a product in use, based on three-dimensional digital modeling. The computing infrastructure for digital manufacturing, however, is usually expensive and, at present, the number of professional design engineers who can take advantage of this technology to a product design accurately is insufficient, particularly in small and medium manufacturing companies. Considering this, the Korea Institute of Science and Technology Information (KISTI) and H University is operating a DM track in the form of Industry-University-Research Institute collaboration to train high-performance-computing-based DM professionals. In this paper, a series of courses to train students to work directly into DM practice in industry after graduation is reported. The operating cases of the DM track for two years since 2013 are presented by focusing on the progress in establishment, lecture and practice contents, evaluation of students, and course quality improvement. Overall, the track management, curriculum management, learning achievement of students have been successful. By expediting more active participation of the students in the track and providing more internship and job offers in the participating companies in addition to collaborative capstone design projects, the track can be expanded by fostering a nationwide training network.

Application of Linked Open Data on Sharing Library Data in Korea

In recent years, interest in linked open data has been rising around public data as many governments have been expanding their attention and efforts about open data. Major countries including the USA and the UK are converting their public data into linked data. In South Korea, too, the development of linked data to promote the utilization of pubic data is being actively discussed with the development of the Public DBpedia as a linked data pilot project at the national level. In the current climate, if libraries with large volumes of high quality data actively participate in sharing and opening data, not only data utilization will be maximized but formation of a knowledge ecosystem can also be achieved through interconnections and semantic linking. In this paper, the benefits that libraries can obtain from linked data will be examined, and the possibility of the utilization of linked data by libraries will be discussed. For this purpose, the definition and characteristics of linked data, the trends of linked data developments in libraries and the case study of the linked open data development by the Korea Institute of Science and Technology Information (KISTI) will be explored.

Performance Evaluation and Analysis of Network Firewalls in High Speed Networks

High speed and high capacity networks are critical for large scale (big) data services. In addition, security issues are even more important. KISTI (Korea Institute of Science and Technology Information) operates a variety of security facilities to provide secure supercomputing services to public users. A throughput of network firewalls affects entire trust networks. Because network firewalls act as the first line of defense against unwanted and malicious traffic flow between each networks. In this paper, we evaluate and compare the performance of two network firewalls are operated by KISTI in high speed networks and analyze results.

지상파 4K UHD 스포츠 라이브 중계방송

최근 몇 년간 차세대 방송으로 일컬어지는 UHD (Ultra High Definition) 방송 기술에 대한 많은 연구 및 개발이 진행되고 있다. 사람들의 이목이 집중되는 큰 스포츠 이벤트는 새로운 방송 기술을 홍보하기 위해 좋은 기회인만큼, KBS에서는 2014년에 있었던 세 번의 큰 스포츠 이벤트인 KBL (Korean Basketball League) 프로농구 결승전, 2014 브라질 월드컵, 2014 인천 아시안게임에 대해 4K 라이브 중계방송을 실시하였다. 특별히 KBL 프로농구 결승전은 세계 최초 지상파 4K 라이브 중계방송이었으며, 월드컵과 아시안게임에 대해서는 UHDTV를 보유한 시청자들이 각자의 집에서 UHD 방송을 즐길 수 있었다. 본 논문에서는 세 번의 스포츠 이벤트에 대한 전체적인 제작 및 전송과정에 대해 정리하였다. 특별히 경기 현장에서의 방송 제작, 실시간 HEVC 인코딩, SFN 전송, 국가과학기술연구망인 KREONOET을 통한 4K 무압축 영상에 대한 IP 전송 등에 대해 설명하였다. UHD (Ultra High Definition) has been developed and standardized over the past few years and considered as a key of the next generation broadcasting. Since major sporting events that attract many viewers have been good opportunities for applying and promoting new broadcasting technology, KBS (Korean Broadcasting System) has carried out live 4K terrestrial broadcasting of three big sports events in 2014, the KBL (Korean Basketball League) finals, the 2014 FIFA World Cup, and the 2014 Incheon Asian Games. Especially, 4K UHD live coverage of the KBL finals was the world's first live 4K terrestrial broadcasting, and people could enjoy the World Cup and the Asian Games with UHDTV at home. In this paper, the overall live production and data transmission of the sporting events is described, including on-location live production, live HEVC (High Efficiency Video Coding) encoding, SFN (Single Frequency Network) transmission, as well as experimental IP transmission of uncompressed 4K video via KREONET, a national R&D network run by KISTI (Korea Institute of Science and Technology Information).

자기치유 부식방지 코팅의 최근 동향

ReSEAT Program, Korea Institute of Science and Technology Information(KISTI), Seoul, 130-741, Korea(Received September 25, 2014 ; revised October 16, 2014 ; accepted October 17, 2014)Abstract In recent years, self-healing coatings have been the subject of increasing interest. The ability of suchcoatings to self-repair local damage caused by external factors is a major factor contributing to their attrac-tiveness. Metals are extensively used in modern society in a range of applications from infrastructure toaircraft to consumer products. The protection of metals, primarily from corrosion has been an active areaof materials science for many years. The aim of this review is the demonstration for recent progress achievedin the development of carrier-based self-healing coatings for the protection of metals. This review mainlycovers the reports published after 2010. Two main types of carriers for corrosion inhibitors or healing agents-polymer capsules and porous composite inorganic nanoparticles-are described.

비전통 치밀 가스 학술정보 분석

Korea Institute of Science and Technology Information(KISTI), Daejeon 305-806Natural gas is the world’s fastest-growing fossil fuel, with consumption increasing from 113 trillion cubicfeet(Tcf) in 2010 to 185Tcf in 2040. While conventional natural gas streams from the earth relatively easily, uncon-ventional gas finds are more difficult to develop and more costly to produce. Right now, there are six main types ofunconventional gas, including deep gas, gas-containing shale, coalbed methane(CBM), geopressurized zones, Arcticand subsea hydrates, and tight gas. Tight gas refers to natural gas reservoirs locked in extraordinarily impermeable,hard rocks(sandstone, siltstone or carbonate sedimentary rocks). In this study, we analyzed total 375 papers(2000-2014) of tight gas by country, institution, international cooperation etc.

셰일가스 개발정보의 글로벌 동향분석

ReSEAT Program, Korea Institute of Science and Technology Information(KISTI), Daejeon 305-806, KoreaShale gas has caused a change in the dynamics of gas market since development of horizontal drilling technicand hydraulic fracturing technic caused its commercial production. The commercial amount of shale gas is 187.5trillions m

NEST: A quantitative model for detecting emerging trends using a global monitoring expert network and Bayesian network

The analysis of changes in the research and development (R&D) environment and developing foresight of future technologies are increasingly recognized as important to support policy decision making and efficient resource distribution. Many futurists are developing foresight of future technologies based on Delphi studies, unfolding history, brainstorming, expert surveys, trend analysis, data mining, and so on. However, formalizing these processes is still a necessary task. In this paper, we introduce the NEST (New and Emerging Signals of Trends) model developed by the Korea Institute of Science and Technology Information (KISTI). The NEST collects information from worldwide expert networks and detects the weak signals of emerging future trends systematically, based on massive data analysis, inference techniques, and Delphi studies, to support the development of foresight of future research and technology. The NEST model combines quantitative and qualitative approaches. In the quantitative approach stages, NEST uses clustering, pattern recognition, and cross-impact analysis using a Bayesian network. In the stages of qualitative approaches, NEST conducts environmental scanning, brainstorming, and a Delphi study.

The 8th International Conference on Webometrics, Informetrics and Scientometrics & 13th COLLNET Meeting

The 8th International Conference on Webometrics, Informetrics and Scientometrics & 13th COLLNET Meeting was held in Seoul, Korea on 23–26 October 2012. The joint meeting was organised under the auspices of the international organisation COLLNET and by the Korea Institute of Science and Technology Information (KISTI). The event was hosted by the Korea Chamber of Commerce & Industry. The previous COLLNET meetings, partially organised with other events, had been held in Berlin (Germany) in 2000, New Delhi (India) in 2001, Sydney (Australia) in 2001, Beijing (China) in 2003, Roorkee (India) in 2004, Stockholm (Sweden) in 2005, Nancy (France) in 2006, New Delhi (India) in 2007, Berlin (Germany) in 2008, Dalian (China) in 2009, Mysore (India) in 2010 and Istanbul (Turkey) in 2011. The present conference attracted about 300 participants from 19 countries. From the about 60 oral presentations we have selected eight keynote and contributed papers for publication in the present special issue of Scientometrics. Another selection will be part of a dedicated issue of the COLLNET Journal of Scientometrics and Information Management (CJSIM, volume 7, issue 1, June 2013, http:// www.tarupublications.com/journals/cjsim.htm). The following event of this conference series will be organised under the auspices of the Estonian Research Council, Estonian Ministry of Education and Research and COLLNET and will take place in Tartu (Estonia) on 15–17 August, 2013.

Patterns of Citing Korean DOI Journals According to CrossRef's Cited-by Linking and a Local Journal Citation Database

Citing literature is a very important activity for scholars in writing articles. Many publishers and libraries build cita tion databases and provide citation reports on scholarly journals. Cited-by linking is a service representing what an article cites and how many times it cites a specific article within a journal database. Recently, information services based on DOIs (Digital Object Identifiers) have been increasing in number. CrossRef, a non-profit organiza tion for the DOI registration agency, maintains the DOI system and provides the cited-by linking service. Recently, the number of Korean journals adopting DOI is also rapidly increasing. The Korea Institute of Science and Technology Information (KISTI) supports Korean learned societies in DOI related activities in collaboration with CrossRef. This study analyzes cited patterns of Korean DOI journal articles using CrossRef’s cited-by linking data and a Korean journal citation database. This analysis has been performed in terms of publication country and the language of journals citing Korean journal articles. The results show that DOI, SCI(E) (Science Citation Index (Expanded)), and English journals are more likely to be cited internationally.

Correction: Linkage Disequilibrium Decay and Past Population History in the Human Genome

There were errors in the Funding section. The correct funding information is as follows: This work was supported by the Korea Research Foundation Grant funded by the Korean Government (MOEHRD) (KRF-2007-532-{type:entrez-nucleotide,attrs:{text:C00017,term_id:55826106,term_text:C00017}}C00017) and by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2009-353-{type:entrez-nucleotide,attrs:{text:C00061,term_id:1432291,term_text:C00061}}C00061). Supercomputing resources were supported by the Korea Institute of Science and Technology Information (KISTI) (KSC-2010-S00-0016 & PLSI). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

데이터마이닝 기술을 이용한 한국과학기술인용색인DB 활용 방안 연구

한국과학기술정보연구원(KISTI)에서는 대량의 학술 정보들을 분류하여 저장하고 관리하기 위한 한국과학기술 인용색인 데이터베이스(KSCD)를 구축한 바 있다. 그러나 학술인용색인데이터들은 그 특성상 단순히 저장만을 위한 자료가 아니다. 즉, 저장된 데이터를 기반으로 사용자들에게 어떠한 서비스를 어떻게 제공할 것인지는 KSCD의 활용 측면에서 매우 중요한 문제이다. 예를 들어 사용자는 단순히 특정 저자가 기술한 학술 자료들을 검색하기를 원할 수도 있지만, 필요에 따라 해당 저자와 유사한 연구를 수행하는 저자들을 검색하기를 원할 것이다. 그러나 단순히 저장된 데이터만으로 이러한 서비스를 제공하기는 어렵다. 그러므로 본 논문에서는 한국과학기술인용색인 데이터베이스(KSCD)를 향후 어떻게 활용할 수 있는가에 대한 해답을 찾기 위해서는 국내외에서 현재 어떠한 서비스들을 제공하고 있는지 살펴보고 이와 관련하여 어떤 방향으로 연구가 진행해야 하는지를 모색한다. 특별히 데이터 마이닝 기술은 다양한 형태의 데이터로부터 데이터 속에 내포되어있는 특징(Feature)들을 추출하고 새로운 데이터 모델을 발견하여 의미 있는 정보를 추출해 내어 결국은 사용자의 의사 결정에 도움을 주는 것을 그 목적으로 한다. 즉 데이터에 숨겨진 패턴과 관계를 찾아내어 유용한 정보를 발견해 내는 것이다. 그러므로 본 논문에서는 이러한 데이터마이닝 기법을 학술인용색인데이터에 적용하여 제공할 수 있는 서비스들이 무엇이 있는지 논의한다. 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.

국내 의학 데이테베이스의 활용

국내 의학 데이터베이스는 주관기관에 따라 다양하다. 국내 주요 의학 데이터베이스로는 대한의학회 산하 대한의학학술지 편집인협의회(KAMJE)의 KoreaMed, KoMCI, Synapse, 국가 주도의 의학연구정보센터(MedRIC)의 KMbase, 한국교육학술정보원(KERIS)의 RISS, 한국과학기술정보연구원(KISTI)의 NDSL, 한국연구재단(NRF)의 KCI가 있다. 민간 유료데이터베이스로는 한국학술정보의 KISS, 누리미디어의 DBpia가 있으며, 포털사이트인 Google과 Naver도 방대한 양의 정보를 제공하고 있다. Korean medical databases are various from managing institutions. Korean major medical databases are KoreaMed, KoMCI, Synapse of Korean Association of Medical Journal Editors (KAMJE) made by medical researchers and doctors, and KMbase of Medical Research Information Center (MedRIC), RISS of Korea Education & Research Information Service (KERIS), NDSL of Korea Institute of Science and Technology Information (KISTI), KCI of National Research Foundation of Korea (NRF) made by government. Private companies made KISS (Koreanstudies Information Service System) and DBpia are providing medical information on charge. Internet portal site, Google and Naver, also provide enormous materials.

용어 자동분류를 사용한 검색어 범주화의 분석적 고찰

검색 창을 통해 입력된 검색어는 정보이용자가 의미 있는 자료를 찾아내는 적극적인 활동의 산물이다. 따라서 검색로그는 정보이용자의 관심사항을 알 수 있는 중요한 분석 데이터이다. 본 연구의 목적은 입력한 검색어의 범주화 결과와 엑세스한 문서의 범주가 어느 정도 유사한 상관관계를 가지는지 분석적으로 고찰해보는 것이다. KISTI(한국과학기술정보연구원)의 NDSL(과학기술정보센터) 사이트의 2009년 검색로그의 검색세션을 식별하고 검색세션단위로 검색어와 이용 자료를 추출한 후, 검색어에 대해 어떤 주제 분류에 속하는 용어인지 자동분류기로 식별한 결과가 실제 이용한 자료의 주제 분야와 잘 맞는지 비교하였다. 그 결과 상위 100개 검색어 분류에 대한 유사도 평균이 58.8%로 파악되었다. 결국 전체적인 유사도는 58.8%이하이며, 관련 연구에서 수행한 자료의 자동분류 검색성능 전문가 평가 결과인 76.8%에 비해 낮다. 이것은 검색어로 쓰인 용어가 다른 연구 분야의 관심 용어로 새롭게 주목 받고 있기 때문이라는 사실을 알 수 있었다. Queries entered in a search box are the results of users' activities to actively seek information. Therefore, search logs are important data which represent users' information needs. The purpose of this study is to examine if there is a relationship between the results of queries automatically classified and the categories of documents accessed. Search sessions were identified in 2009 NDSL(National Discovery for Science Leaders) log dataset of KISTI (Korea Institute of Science and Technology Information). Queries and items used were extracted by session. The queries were processed using an automatic classifier. The identified queries were then compared with the subject categories of items used. As a result, it was found that the average similarity was 58.8% for the automatic classification of the top 100 queries. Interestingly, this result is a numerical value lower than 76.8%, the result of search evaluated by experts. The reason for this difference explains that the terms used as queries are newly emerging as those of concern in other fields of research.

An Introduction and Developing guide to the Online Submission and Peer Review System

In this paper, introduction and developing guide to the online submission and peer review system is studied. Such system must provides fare and fast review of drafted papers. In addition, the publication of accepted papers by reviewers is quick and easy. Today, Some societies use KISTI-ACOM which is supplied freely by KISTI(Korea Institute of Science and Technology Information) and some other societies develop and use their own system in Korea. It is sure that each system will be improved and developed further. Based on the consideration about a typical peer review and publication in online submission system, the guideline of online submission and peer review system is suggested in this paper.

과학기술자료 보존공간 분석과 확충방안 연구: KISTI 사례를 중심으로

Despite of increasing digital materials, it is still important to collect print materials and keep their storage space for national level self supporting system as a science and technology(ST) material import country. In order to deal with the storage space issue, we conducted a ST material storage space and its expanding plan for Korea Institute of Science and Technology Information(KISTI). This paper examined first the domestic and overseas standard for the library stack space, analyzed current KISTI library stack space, and finally forecasted its demand in 2020 based on the increasing rate of the stack space. The expanding plans are suggested at the individual library level and also at the cooperative library storage facilities. The results of this paper will help that other libraries diagnose the present status and forecast the future library stack space when they face with the similar problems as it is examined in the KISTI case.

과학기술분야 디지털 콘텐츠의 아카이빙 정책 연구

최근 전 세계적으로 디지털 콘텐츠에 대한 아카이빙 사례가 증가하고 있다. 디지털 콘텐츠는 휘발성, 진본성 문제, 보존의 취약성, 재생도구의 노화 등과 같은 특성으로 인하여 장기보존을 위한 특별한 보존관리가 요구된다. 성공적인 디지털 아카이빙은 체계적으로 수립된 명문화된 정책에 기초하여 관련 기관들의 협력을 통한 단계적인 실행에서 가능해질 것이다. 본 연구는 과학기술정보 유통의 대표기관인 KISTI의 디지털 콘텐츠 아카이빙 정책 수립을 위한 기초적인 연구이다. 해외의 디지털 아카이빙정책 사례들을 조사 분석하여 디지털 아카이빙 정책의 프레임워크를 파악하고, 전문가 그룹 인터뷰를 통해 아카이빙 정책에 포함되는 거시적인 항목들에 대한 방안을 제시하였다. Recently, the cases of archiving for digital contents are being increased throughout the world. Owing to the characteristics of digital contents including the issues on volatile property and authenticity, preservation weakness, and aging in the reproductive tool, it requires special management for long-term preservation. A successful digital archiving seems to be possible in the stage-oriented practice through the cooperation of interested organizations based on the systematically established and stipulated policy. This is the basic study that was designed for the establishment of the policy on digital contents archiving in KISTI(Korea Institute of Science and Technology Information), which is a representative organization for the distribution of science and technology information. By investigating and analyzing the cases of overseas policies on digital contents archiving, it intended to understand the framework of digital archiving policy while suggesting measures on the macroscopic items that were included in the archiving policies through the interview conducted to expert groups.

국내 과학기술 연구자의 한국 학술지 인용패턴 연구

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.