• Journal of Korean Library and Information Science Society
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• v.47 no.1
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• pp.217-242
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• 2016

To investigate the characteristics of Korean researchers who have published journal articles in the international Library and Information Science (LIS) journals, we analyzed the types of institutions of the authors and their disciplines by publication year and journal type. Specifically, we analyzed 819 pieces of author information from 384 articles published between 2005 and 2014 in 31 journals using the existing categories, allowing comparisons of research trends between past and current and between Korean and international researchers. In addition, we used a co-authorship credit allocation method to calculate the credits of individual authors in an accurate manner, and found that 342.6 of 384 papers were contributed by solely Korean researchers. We demonstrated that the internationality and quality of Korean LIS research has increased during this time. In particular, authors who were affiliated with universities took the lead in publishing papers, and we presented that the nature of research might be related to the type of author affiliation. Based on the disciplinary backgrounds of the researchers, we also suggest that LIS research is associated with such disciplines, computer science, management, and communications.

• The KIPS Transactions:PartB
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• v.9B no.4
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• pp.399-406
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• 2002

The goal of this research has been to develop an adaptive user agent for web surfing. To achieve this goal, the research has concentrated on three issues: collection of user data, construction and improvement of user profile, and adaptation by applying the user profile. The main outcome from the research is a prototype system that provides the functional definition and componential design scheme for an adaptive user agent for the web environment. Internally, the system achieves its operational goal from the cooperation of two independent agents. They are IIA (Interactive Interface Agent) and UPA (User Profiling Agent). As a tool for providing a user-friendly interface environment, the IIA employs the Keyword Index, which is a list of index terms of a webpage as well as a keyword menu for subsequent queries, and the Suggest Link, which is a hierarchical list of URLs showing the past browsing procedure of the user. The UPA reflects in the User Profile, both the static and the dynamic information obtained from the user's browsing behavior. In particular, a user's interests are represented in the form of Interest Vectors which, based on the similarity of the vectors, is subject to update and creation, thus dynamically profiling the user's ever-shifting interests.

• Journal of the Korean Society for Library and Information Science
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• v.25
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• pp.295-324
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• 1993

최근 정보기술의 급속한 발달 따라 사회 전반적인 체제의 정보화 현상으로 개인이나 조직의 활동이 정보와 밀접한 관련성을 가지게 됨으로써 이용자의 정보 수요에 적합한 정보원을 제공하는 매개자의 기능을 수행하고 있는 정보전문가의 역할이 한층 더 부각되고 있다. 이러한 영향이 도서관이나 정보센터의 모든 활동에 파급됨에 따라 정보를 수집, 가공, 분석. 저장 및 전달을 담당하고 있는 정보 전문가는 종래의 문헌중심봉사(book-based service)에서 정보중심봉사(information-based service) 형태로 역할 변환이 요구되고 있다. 특히 주제전문 봉사를 담당하고 있는 사서나 정보전문가는 이러한 정보기술의 파급효과를 더욱 실감하고 있는 실정이다. 이러한 상황에서 본 연구는 첫째, 정보기술의 발달이 사회과학 분야의 정보봉사에 미치는 영향과 효과를 살펴보고. 둘째로 사회과학 분야 정보제공을 위한 정보시스템의 특성 분석과 정보기술을 매체로 이용하고 있는 정보전문가의 정보기술에 대한 인식을 실증적으로 분석하고 있으며, 마지막으로 정보사회에서 다양한 정보제공을 담당할 사회과학 정보전문가의 새로운 역할 모델을 제시하고 있다. 사회과학 분야의 정보제공을 효율적으로 수행하기 위한 정보시스템의 구축은 학제적 성을 지니고 있는 사회과학 전반에 대한 이해와 특성을 파악함으로써 가능하다. 사회과학의 연구대상은 인간 상호작용에 관한 지식의 전반적인 분야를 포괄하고 있어 많은 주제분야가 서로 중복되거나 상호 호환적인 성격을 지니고 있기에. 사회과학 정보시스템이 이용자의 정보요구에 만족을 주기 위해서는 이용자의 유형, 정보요구의 형태 및 그 해결방안에 일차적 관심을 가져야한다. 사회과학 분야의 정보유통 체제를 살펴보면, 대부분 통계자료나 단편적인 데이타로 시작되는 원자료가 사회과학자나 연구자에 의해 "지적 변환(intellectual transformation)" 과정을 거쳐 논문이나 저서 등과 같은 정형화된 문헌의 형태로 나타나게 된다. 정형화된 문헌이 다른 이용자의 요구에 효율적으로 이용되기 위하여 다시 "서지적 변형(bibliographic transformation)" 과정이 수반됨으로써 도서관이나 정보센터의 정보시스템에서 문헌검색이 가능하게 된다. 정보기술의 발달과 보급 이전에는 서지적 변형 단계에서 대부분 정보제공시스템의 역할이 종결되었으나, 최근 정보기술의 활용으로 서지적 변형 후 각종 정보자료의 색인과 초록 및 네트웍 화를 통한 자동화 과정이 이루어짐으로써 이용자의 정보요구에 최대의 만족을 제공할 수 있는 정보자료의 체계적인 분석과 효율적인 통제로 포괄적인 정보관리 차원으로 이전되고 있음을 알 수 있다. 사회과학 분야를 담당하고 있는 사서를 대상으로 실시한 설문조사에서 새로운 정보기술의 활용에 따른 정보전문가의 인지적 혹은 업무 적 변화가 매우 긍정적인 방향으로 뚜렷이 나타나고 있음을 알 수 있다. 정보기술을 이용하고 있는 대부분의 사서들은 정보기술이 그들의 정보봉사 업무를 쉽게, 빠르게. 그리고 정확하게 처리하고 있으며, 새로운 정보기술 습득에 호의적인 반응을 보이고 있다. 아울러 정보기술의 이용에 따른 추가적인 책임이나 의무가 수반되고 있는 것으로 나타나고 있으며, 정보기술이 정보전문가의 역할을 완전히 대체할 정도로 위협을 느끼고 있지는 않는 것으로 조사되고 있다. 종합적인 반응은 대부분의 사서들이 정보 봉사 업무에 정보기술의 활용을 매우 바람직한 것으로 보고 있으며. 이용자 요구를 극대화하기 위한 정보관리에 필수불가결 한 도구로 인식하고 있다. 과거의 유능한 사서나 정보전문가는 자관의 정보원에 대한 철저한 이해로 이용자의 요구에 봉사하는 것으로 간주되었으나, 현재 그리고 미래의 유능한 정보전문가는 자관은 물론 국가적 혹은 세계적인 정보원에 접근할 수 있는 정보원 관리 능력은 물론 정보기술의 활용과 이용자에 대한 교육적 능력을 동시에 지녀야 할 것으로 여겨진다. 이러한 관점에서 사회과학 분야의 정보제공을 담당하고 있는 정보전문가의 새로운 역할을 크게 이용자 보조 역할, 주제전문가 역할. 시스템 전문가 역할, 그리고 정보원 관리자 역할로 구분할 수 있다.

• Journal of Advanced Marine Engineering and Technology
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• v.39 no.4
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• pp.495-500
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• 2015

Currently the fish aquaculture industry of Korea is focused on the mass culture of flatfish (Paralichthys olivaceus) and and rockfish (Sebastes schlegeli) with completely controlled culture techniques. Recently, there has been considerable interest in new species development, such as the starry flounder (Platichthys stellatus). The value of starry flounder (Platichthys stellatus) as a raw fish increases with time because it is tasty, light, and bouncy. In this paper, the growth characteristics dependent on the LED wavelengths and the optimal growth conditions of the starry flounder were studied. In these experiments 4 different kinds of LED lighting, configurations were designed and prepared using red, green, blue and white, respectively. The fish aquaculture experiments were conducted over 10 weeks in four fish tanks, each installed with a different color of LED lighting. 10 starry flounders of 13 ~ 17g were placed into each tank. The effects of each color of light on the growth rate of the starry flounders were then examined. As a result, the starry flounders under the green LED lighting showed the highest growth rate, followed by the white, red, and blue LED lighting. Based on these results, a green light provides a suitable breeding environment for the starry flounder.

• Journal of Korean Library and Information Science Society
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• v.52 no.2
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• pp.235-252
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• 2021

As part of effort to develop the strategies of internationalization of social science academic journals in South Korea, this study attempts to verify the measurement invariance of journal selection criteria across the groups of library and information science researchers and social science researchers. The authors collected 146 survey responses from researchers who have published at least one paper in SSCI/Scopus-indexed social science journals between 2014 and 2016. As a result of the study, it was found that the configural and partial metric invariance of the journal selection criteria held across the two groups, implying that the model of journal selection criteria is appropriate to use in the field of social science as well as library and information science. Additionally, the authors investigated the perceptions of journal selection criteria indicators in the two groups, and it was shown that researchers in both groups considered peer review and indexing in major databases important. The findings of this study could be useful for publishers or academic societies to develop improvement strategies of their journals.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.4
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• pp.549-566
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• 2022

Recently, artificial intelligence (AI) technology has progressed rapidly, and industries using this technology are significantly increasing. Further, analysis research using text mining, which is an application of artificial intelligence, is being actively developed in the field of social science research. About 125 laws, including joint laws, have been enacted under the Ministry of Oceans and Fisheries in various sectors including marine environment, fisheries, ships, fishing villages, ports, etc. Research on the laws under the Ministry of Oceans and Fisheries has been progressively conducted, and is steadily increasing quantitatively. In this study, the domestic research trends were analyzed through text mining, targeting the research papers related to laws of the Ministry of Oceans and Fisheries. As part of this research method, first, topic modeling which is a type of text mining was performed to identify potential topics. Second, co-occurrence network analysis was performed, focusing on the keywords in the research papers dealing with specific laws to derive the key themes covered. Finally, author network analysis was performed to explore social networks among authors. The results showed that key topics have been changed by period, and subjects were explored by targeting Ship Safety Law, Marine Environment Management Law, Fisheries Law, etc. Furthermore, in this study, core researchers were selected based on author network analysis, and the tendency for joint research performed by authors was identified. Through this study, changes in the topics for research related to the laws of the Ministry of Oceans and Fisheries were identified up to date, and it is expected that future research topics will be further diversified, and there will be growth of quantitative and qualitative research in the field of oceans and fisheries.

• Journal of Korean Society of Archives and Records Management
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• v.23 no.4
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• pp.73-89
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• 2023

This study aims to analyze the frequency of keywords used in Korean abstracts, which are unstructured text data in the domestic record management research field, using text mining techniques to identify domestic record management research trends through distance analysis between keywords. To this end, 1,157 keywords of 77,578 journals were visualized by extracting 1,157 articles from 7 journal types (28 types) searched by major category (complex study) and middle category (literature informatics) from the institutional statistics (registered site, candidate site) of the Korean Citation Index (KCI). Analysis of t-Distributed Stochastic Neighbor Embedding (t-SNE) and Scattertext using Word2vec was performed. As a result of the analysis, first, it was confirmed that keywords such as "record management" (889 times), "analysis" (888 times), "archive" (742 times), "record" (562 times), and "utilization" (449 times) were treated as significant topics by researchers. Second, Word2vec analysis generated vector representations between keywords, and similarity distances were investigated and visualized using t-SNE and Scattertext. In the visualization results, the research area for record management was divided into two groups, with keywords such as "archiving," "national record management," "standardization," "official documents," and "record management systems" occurring frequently in the first group (past). On the other hand, keywords such as "community," "data," "record information service," "online," and "digital archives" in the second group (current) were garnering substantial focus.

• Journal of the Korean Society for information Management
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• v.41 no.2
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• pp.295-316
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• 2024

Analyzing research trends is essential for the sustainable development of a discipline and is important for understanding the value of prior research and laying the groundwork for subsequent research. This study aims to draw implications for the future direction of convergence research on the disclosure of information from various disciplines by comparing and analyzing the trends in disclosure of information research in Korea. For this purpose, we analyzed the publication frequency of information disclosure papers listed in the Korea Citation Index (KCI) from 2002 to 2023 and the publication trend by discipline as a time series. In addition, we compared the keyword relationships and specialized research topics of each discipline by applying network analysis and LDA topic modeling techniques to the names and keywords of papers in law, public administration, and library and information science. As a result of the analysis, the law focuses on legal regulations and policy improvement, public administration focuses on changing social needs and administrative operation methods, and LIS focuses on practical approaches to record management and disclosure of information. Based on this, future research directions include combining policy research in law with social change research in public administration and developing realistic policies and operational guidelines from the practical perspective of LIS. Such convergent research will enable the systematic and efficient implementation of disclosure of information systems, contributing to the guarantee of the public's right to know and the enhancement of state transparency.

• Journal of Intelligence and Information Systems
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• v.21 no.2
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• pp.1-18
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• 2015

Collaborative filtering(CF) algorithm has been popularly used for recommender systems in both academic and practical applications. A general CF system compares users based on how similar they are, and creates recommendation results with the items favored by other people with similar tastes. Thus, it is very important for CF to measure the similarities between users because the recommendation quality depends on it. In most cases, users' explicit numeric ratings of items(i.e. quantitative information) have only been used to calculate the similarities between users in CF. However, several studies indicated that qualitative information such as user's reviews on the items may contribute to measure these similarities more accurately. Considering that a lot of people are likely to share their honest opinion on the items they purchased recently due to the advent of the Web 2.0, user's reviews can be regarded as the informative source for identifying user's preference with accuracy. Under this background, this study proposes a new hybrid recommender system that combines with users' review mining. Our proposed system is based on conventional memory-based CF, but it is designed to use both user's numeric ratings and his/her text reviews on the items when calculating similarities between users. In specific, our system creates not only user-item rating matrix, but also user-item review term matrix. Then, it calculates rating similarity and review similarity from each matrix, and calculates the final user-to-user similarity based on these two similarities(i.e. rating and review similarities). As the methods for calculating review similarity between users, we proposed two alternatives - one is to use the frequency of the commonly used terms, and the other one is to use the sum of the importance weights of the commonly used terms in users' review. In the case of the importance weights of terms, we proposed the use of average TF-IDF(Term Frequency - Inverse Document Frequency) weights. To validate the applicability of the proposed system, we applied it to the implementation of a recommender system for smartphone applications (hereafter, app). At present, over a million apps are offered in each app stores operated by Google and Apple. Due to this information overload, users have difficulty in selecting proper apps that they really want. Furthermore, app store operators like Google and Apple have cumulated huge amount of users' reviews on apps until now. Thus, we chose smartphone app stores as the application domain of our system. In order to collect the experimental data set, we built and operated a Web-based data collection system for about two weeks. As a result, we could obtain 1,246 valid responses(ratings and reviews) from 78 users. The experimental system was implemented using Microsoft Visual Basic for Applications(VBA) and SAS Text Miner. And, to avoid distortion due to human intervention, we did not adopt any refining works by human during the user's review mining process. To examine the effectiveness of the proposed system, we compared its performance to the performance of conventional CF system. The performances of recommender systems were evaluated by using average MAE(mean absolute error). The experimental results showed that our proposed system(MAE = 0.7867 ~ 0.7881) slightly outperformed a conventional CF system(MAE = 0.7939). Also, they showed that the calculation of review similarity between users based on the TF-IDF weights(MAE = 0.7867) leaded to better recommendation accuracy than the calculation based on the frequency of the commonly used terms in reviews(MAE = 0.7881). The results from paired samples t-test presented that our proposed system with review similarity calculation using the frequency of the commonly used terms outperformed conventional CF system with 10% statistical significance level. Our study sheds a light on the application of users' review information for facilitating electronic commerce by recommending proper items to users.

• Korean Journal of Heritage: History & Science
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• v.56 no.2
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• pp.80-98
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• 2023

In the late Joseon Dynasty, when the bride would ride a palanquin when she went to live with her in-laws, it was a custom to cover the palanquin with tiger skin to ward off misfortunes that may come her way. The higher classes used tiger skin or leopard skin for this purpose, but the common people had to substitute this expensive item with a tiger pattern painted on a blanket. Such blankets were called hotanja, hogu, hoguyok and the like. The term "hotanja" is a pure Korean word. It is not known when the cover for the bridal palanquin was first used, but it was popular from the end of the 19^th century and then gradually disappeared. This is due to the introduction of new Western style weddings that eliminated the need for a bridal palanquin. The tiger print blanket was used not only to cover the bride's palanquin but also to cover a table or floor during the wedding ceremony. This study ran a material analysis on nine pieces of tiger print blankets. All of the blanket artifacts examined in this study had an outer cover and a lining made of fabric that used cotton thread for the warp and wool thread for the weft. Two kinds of wool were found in the weft thread in the outer covers: fat-tailed sheep hair from China and goat hair for carpets from the Hebei province, China. Records show that "blankets with painted tiger patterns" were imported from Russia, and the imported blankets were from Russia and China. The outer cover can be categorized into six types, and the lining into three types depending on the weave and direction of the thread twist. The hem facing can be divided into four types. The lining and outer cover use the full width of the fabric, which was woven in wide widths of 135 cm or wider. The tiger pattern on the blanket was made by stenciling. The stencil design of the body and tail of the tiger were placed on a red blanket to be painted in white, and then the background color of the tiger, which is yellow, would be painted over the white, and then black stripes would be added. The pattern of the tiger varies, which shows that the blankets were made by various craftspeople. The pattern of the tiger print blanket is usually of a tiger lying down, but there were tiger print blankets with a tiger standing up. The pattern of the tiger grew smaller over time, and flower patterns were added in the background. Decorative elements were gradually added to the tiger print blanket patterns, but its function as a palanquin cover became lost. By taking the features of tiger print blankets into consideration, it can be assumed that there are imported pieces among the remaining pieces, and were produced in various places because it was popular at that time.