• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.345-351
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• 2020

Administrative agencies today are paying keen attention to big data analysis to improve their policy responsiveness. Of all the big data, news articles can be used to understand public opinion regarding policy and policy issues. The amount of news output has increased rapidly because of the emergence of new online media outlets, which calls for the use of automated bots or automatic document classification tools. There are, however, limits to the automatic collection of news articles related to specific agencies or departments based on the existing news article categories and keyword search queries. Thus, this paper proposes a method to process articles using classification glossaries that take into account each agency's different work features. To this end, classification glossaries were developed by extracting the work features of different departments using Word2Vec and topic modeling techniques from news articles related to different agencies. As a result, the automatic classification of newspaper articles for each department yielded approximately 71% accuracy. This study is meaningful in making academic and practical contributions because it presents a method of extracting the work features for each department, and it is an unsupervised learning-based automatic classification method for automatically classifying news articles relevant to each agency.

• Journal of Information Science Theory and Practice
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• v.6 no.3
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• pp.37-44
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• 2018

An academic article is normally cited within a few years of publication, after which interest falls off as the research field moves on. However, an article is sometimes ignored for many years only to attract interest after a long period of dormancy. Such articles are called "Sleeping Beauties." A general characterization of this pattern has recently been defined and is used in this study to identify five Sleeping Beauties that were published by researchers at the University of Waterloo in the 1970s and 1980s. While a handful of studies have examined the occurrence of such Sleeping Beauties in specific fields of research or in a particular journal, none has yet identified these unusual articles in the context of the lasting impact of a university's research. This study is therefore a novel application of the latest technique for identifying Sleeping Beauties. The possibilities for using this unusual citation pattern in raising the profile of a university's research are discussed.

• Journal of the Korean Society for Library and Information Science
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• v.32 no.3
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• pp.251-264
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• 1998

The purpose of this study is to build a Web Based IT Trend Retrieval System using Visual Foxpro. In this system, we can retrieve recent titles of Information Technology Trend articles. Besides, all of the titles are linked to the contents of the articles. For this purpose, FoxWeb and Personal Web Server was utilized also.

• Journal of Information Science Theory and Practice
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• v.8 no.3
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• pp.15-29
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• 2020

This study aims to describe the general patterns of Korean research in Arts and Kinesiology, particularly from the perspective of authorship. Among the 12 sub-areas of Arts and Kinesiology indexed in the Korean Citation Index (KCI), journals in three sub-areas, "Arts," "Design," and "Kinesiology" have the longest publishing histories and produced the largest volume of articles. 68 journals in the "Arts," "Design," and "Kinesiology" sub-areas were accredited in the KCI between 2001 and 2019; 40,955 articles which were published in the journals between the years of accreditation and the end of 2019 serve as the context of this article. Authorship, affiliated institutions and countries, openness to new authors, top researchers, topological properties of authorship networks, overall research performance by authors, and co-authorship patterns were analyzed and compared among three sub-subjects.

• Journal of Korean Elementary Science Education
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• v.29 no.4
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• pp.401-413
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• 2010

This study analyzed the kinds and frequencies of descriptors in 154 articles in ERIC data base on the 4th day of January in 2010. The titles of the articles includes the words, 'scientific literacy'. As each descriptor is constituted of two words and over, in this study the first word in the descriptor was defined as 'restrictive word' and the rest word(s) as 'target word(s)'. The results are as follows. First, the descriptors which show high frequencies of target words are the traditionally important themes of scientific literacy education. Target words which show relatively high frequency are 'education', 'literacy', 'instruction' and 'countries'. Low frequency word is 'curriculum', which has various restrictive words and represents wide differentiation. Second, among the descriptors which show low frequencies of target words, relatively high frequency descriptors are '(and)society', 'change', 'secondary education', 'concepts', and 'biology', which have been given more attention in scientific literacy research than the rest descriptors. Third, the number of the descriptors that shows largely distributed pattern A, which happens over 15 years continuously, is over the half of all analyzed descriptors, which shows that they have been the major objectives in researches about scientific literacy. Most descriptors of pattern A shows normal distribution of frequency or the trends of increasing frequency as the time is nearer. Fourth, The descriptors are divided into four groups according to the time span. Each research trends are as follows. In later 80s, the research which emphasizes the importance of the sociality and technology in all level school science curriculum. In later 90s the research for educational change of inquiry-centered science curriculum which considers technological literacy in social contexts. In earlier 2000s the research that scientists and science teachers develop science curricula mostly related to scientific principles and thinking in chemistry and biology especially. In later 2000s case studies which relates teaching methods and science process activities to students' attitudes, scientific concepts and curricula.

• Annual Conference on Human and Language Technology
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• 2007.10a
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• pp.269-275
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• 2007

텔레비전 뉴스에서 부제목을 만들거나, 문장을 PDA나 휴대폰과 같은 작은 화면에 출력하고 싶은 경우, 가능한 방법은 두 가지가 있다. 첫번째는 사람에 의해 직접 만드는 방식이다. 두번째는 자동화된 문장 요약 시스템을 사용하는 방법이다. 따라서 문장 요약 알고리즘은 그 중요성이 계속해서 커지고 있다. 본 논문에서는 구문 트리의 서브 트리가 변화할 수 있는 규칙을 제시하는 방법에 (1)공기 정보와 (2) 문법적으로 올바른 구조를 유지하기 위해 핵심적인 부분(주요 문법 구조) 및 같이 요약되어야 할 절을 표시하는 휴리스틱, (3)주어진 문장이 포함된 글의 제목 정보를 추가로 사용하여 문장 요약을 실행하였다. 본 시스템의 결과와 기존의 요약 방식을 비교하는 실험을 분야 전공자들에 의한 주관적 평가로 수행한 결과, 본 시스템의 알고리즘이 기존에 사용되던 구문서브트리 변환 방법보다 중요한 부분 및 문법적으로 올바른 부분을 많이 유지하는 요약임을 확인하였다.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.267-281
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• 2016

This study analyzed the contents of articles on GMO in Chosun Ilbo and Hankyoreh from 1994 through 2015 to check the trend of reporting on GMO as a science and technology risk issue. As a result, 'risk' and 'anxiety/concern' were continuously treated as important subjects, and there was a lack of depth and journalist's professionalism in all three periods: 'Introduction of GMO technology (1994-2000)', 'Development of GMO technology (2001-2010)' and 'Social acceptance of GMO (2011-2015).' In a comparison between the media with different ideological goals, the Chosun Ilbo had a stronger new-technological inclination to GMO than the Hankyoreh in reporting topics and tones of arguments. As a result of checking the relation of the tones in reporting with the 'risk-benefit' of GMO, reports in negative tones underlined 'risk' while those in positive tones, 'benefit.' This study could suggest improvements of subject bias and unprofessionalism in the domestic science journalism, the barometer of public awareness of disputes over science and technology risk.

• 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 Animal Science and Technology
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• v.65 no.6
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• pp.1124-1150
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• 2023

This study aimed to analyze the leading research materials and research trends related to livestock food in Asia in recent years and propose future research agendas to ultimately contribute to the development of related livestock species. On analyzing more than 200 relevant articles, a high frequency of studies on livestock species and products with large breeding scales and vast markets was observed. Asia possesses the largest pig population and most extensive pork market, followed by that of beef, chicken, and milk; moreover, blood and egg markets have also been studied. Regarding research keywords, "meat quality" and "probiotics" were the most common, followed by "antioxidants", which have been extensively studied in the past, and "cultured meat", which has recently gained traction. The future research agenda for meat products is expected to be dominated by alternative livestock products, such as cultured and plant-derived meats; improved meat product functionality and safety; the environmental impacts of livestock farming; and animal welfare research. The future research agenda for dairy products is anticipated to include animal welfare, dairy production, probiotic-based development of high-quality functional dairy products, the development of alternative dairy products, and the advancement of lactose-free or personalized dairy products. However, determining the extent to which the various research articles' findings have been applied in real-world industry proved challenging, and research related to animal food laws and policies and consumer surveys was lacking. In addition, studies on alternatives for sustainable livestock development could not be identified. Therefore, future research may augment industrial application, and multidisciplinary research related to animal food laws and policies as well as eco-friendly livestock production should be strengthened.

• Journal of Korean Ophthalmic Optics Society
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• v.21 no.2
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• pp.83-90
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• 2016

Purpose: The purpose of this study is to compare and analyze keywords of articles in the Korean Ophthalmic Optics Society to MeSH (Medical Subject Headings) terms. The study hopes to enhance the understanding and usage of MeSH and give fundamental information to the Korean Ophthalmic Optics Society in advance. Methods: A total of 1952 keywords from 409 informative articles published from 2004, Vol 9(1) to 2016, Vol 21(1) were compared with MeSH terms according to the criteria of complete coincidence, incomplete coincidence and complete incoincidence. Results: 439 keywords (22.4%) were completely coincident with MeSH terms, 815 keywords (41.8%) were incompletely coincident with MeSH terms and 693 keywords (35.5%) were completely incoincident with MeSH terms. The most used keyword in MeSH terms is in the order of Myopia, Astigmatism and visual acuity. For the incompletely coincident keywords Refractive error, Soft contact lens, and Phoria were used the most. Finally, the most used keywords in the category of completely incoincident were Accommodative lag and Pseudomonas aeruginosa. Conclusions: It is highly recommended that MeSH terms are selected as controlled keywords to increase usage of searced Korean Ophthalmic Optics Society articles in MEDLINE.