• Journal of Digital Convergence
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• v.15 no.1
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• pp.443-452
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• 2017

Architectural history traces the changes in architecture through various traditions, regions, overarching stylistic trends, and dates. This study identified terminologies related to the proximity and frequency in the architectural history areas by text mining and association analysis. This study explored terminologies by investigating articles published in the "Journal of Architectural History", a sole journal for the architectural history studies. First, key terminologies that appeared frequently were extracted from paper that had titles, keywords, and abstracts. Then, we analyzed some typical and specific key terminologies that appear frequently and partially depending on the research areas. Finally, association analysis was used to find the frequent patterns in the key terminologies. This research can be used as fundamental data for understanding issues and trends in areas on the architectural history.

• Journal of Information Management
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• v.43 no.2
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• pp.43-66
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• 2012

The purpose of this study is to see the intellectual structure in the field of veterinary sciences in Korea, using author profiling analysis(APA), a bibliometric approach. Three journals are selected on the basis of citation data, exchanging most citations with Korean Journal of Veterinary. And then, 50 authors who published most articles at selected journals during the given period of time were chosen. The analysis of similarity and dissimilarity among authors by comparing co-word appearance patterns from article title, abstracts, and keywords was made. Authors can be grouped 11 minor clusters under 4 major clusters, depending on their interests in the area of veterinary sciences in Korea. The subjects for each cluster at the veterinary sciences are decided by the matching the keyword, representing author's research interest. As a result, it is possible to figure out the current research trends and the researcher network in the field of veterinary sciences.

• Journal of Korean Elementary Science Education
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• v.41 no.2
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• pp.356-372
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• 2022

This study examined the topics that have appeared in the "Journal of Korean Elementary Science Education" over the past 50 years to identify the changes that have occurred in the Korean Society of Elementary Science Education. Latent Dirichlet allocation topic modeling was applied to 1,065 English abstracts from the first issue (1983) to 2021, from which 14 main topics were extracted. The meaning of each topic was then analyzed from its keywords and documents. Subsequently, to elucidate the topic trends, the topics' increase or decrease every three years was statistically examined through linear regression analysis. Based on the results, implications for developing and supporting elementary science education research in the future were discussed.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.37-55
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• 2023

With the development of electronic journals and the emergence of various interdisciplinary studies, the selection of journals for publication has become a new challenge for researchers. Even if a paper is of high quality, it may face rejection due to a mismatch between the paper's topic and the scope of the journal. While research on assisting researchers in journal selection has been actively conducted in English, the same cannot be said for Korean journals. In this study, we propose a system that recommends Korean journals for submission. Firstly, we utilize SBERT (Sentence BERT) to embed abstracts of previously published papers at the document level, compare the similarity between new documents and published papers, and recommend journals accordingly. Next, the order of recommended journals is determined by considering the similarity of abstracts, keywords, and title. Subsequently, journals that are similar to the top recommended journal from previous stage are added by using a dictionary of words constructed for each journal, thereby enhancing recommendation diversity. The recommendation system, built using this approach, achieved a Top-10 accuracy level of 76.6%, and the validity of the recommendation results was confirmed through user feedback. Furthermore, it was found that each step of the proposed framework contributes to improving recommendation accuracy. This study provides a new approach to recommending academic journals in the Korean language, which has not been actively studied before, and it has also practical implications as the proposed framework can be easily applied to services.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.351-351
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• 2020

하천은 이수, 치수 및 환경 등의 역할을 수행하며 문화생활의 공간 제공, 재해예방 기능, 생활용수 공급 등 다양한 형태로 국민의 생활과 문화의 발전에 기여한다. 국내에는 총 5,937개의 하천이 존재하며, 정부는 매년 많은 예산을 투자하여 다양한 하천사업을 추진 중에 있다. 하천사업의 경우 국토교통부, 환경부, 행정안전부를 중심으로 하천수변공간의 복원, 홍수예방 등에 관한 사업을 수행해 왔으나 현재 지방의 자율성, 책임성과 권한확대를 위해 지방하천 관련 사업들의 경우 각 지자체로 기능이 이양되고 있으며 국가하천을 대상으로 한 사업만을 중앙정부기관에서 관리하는 중이다. 그러나 중앙정부 기관에서 관리 중인 국가하천 관련 사업들에 대한 관리 또한 수월하지 않아 사업 현황관리, 예산 관리 등에 대한 필요성이 지속적으로 제기되는 실정이다. 한편, 국내에서는 수자원관리를 위한 시스템인 하천관리지리정보시스템(RIMGIS)과 국가수자원관리종합정보시스템(WAMIS)을 운영 중에 있으나 하천에 관한 제반사항 및 하천기본계획 등의 관리만을 수행하며 하천공사관리는 포함하고 있지 않다. 따라서 본 연구에서는 하천사업(공사)관리 시스템 개발 방안을 제시하고자 한다. 이는 중앙부처에서 관리 중인 국가하천 관련 사업의 체계적인 관리와 사업수행 중 발생 가능한 문제 상황 대응력을 향상시켜줄 것으로 기대한다.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.689-699
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• 2020

The National Science and Technology Information Center (NDSL) database, which provides academic papers at home and abroad, collects, builds, and manages data collected from various sources. In this study, we analyzed the DB paper schema and DB metadata that are currently constructed and managed to derive an integrated DB schema that can manage the high-value-added papers and manage them efficiently by analyzing distributed DB papers. Also, the final academic information data items were determined through comparison and analysis using the Web of Science and SCOPUS schemas that are currently purchased and possessed. The academic information data items constructed and serviced through this study were summarized into seven papers, authors, abstracts, institutions, themes, journals, and references, and defined as core contents under construction. The integrated DB schema was created through this study, and the results of this study will be used as a basis for constructing the integrated DB collection of high quality academic papers and designing the integrated system.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.47-56
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• 2018

The aim of this study is investigate the research trends by analyzing the researches related to Korean and international genetics in oncology nursing. We conducted a text network analysis focusing on the key words presented in the abstracts of papers published in journals related to genetics in oncology nursing. Nurse, Cancer, Genetic, Patient, Knowledge, Care, and Genetic Test were identified as keywords and centralized keywords. As a result of studying research trends over time, researches including keywords such as information, care, and knowledge have increased since the completion of the Human Genome Project in 2003. Key words classified through the meta paradigm of nursing were health, nursing, human, environment order. This study is meaningful in that it can be used to identify trends in tumor genetic nursing research and to set the direction of development of nursing intervention for hereditary cancer patients.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.381-388
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• 2021

The purpose of this study is to analyze the effects of simulation program using virtual reality (VR). Examination of databases resulted in identification of 1,415 studies of which 3 satisfied the inclusion data. Data analysis was performed using R version 4.0.2 to calculate the effect sizes, explore possible causes of heterogeneity, and check for publication bias, using a funnel plot. The mean effect size of the simulation program was medium (g=0.35), along with the skill performance (g=0.59), satisfaction (g=0.38), knowledge (g=0.21). Finally a funnel plot was produced to check for publication bias, but no significant bias was detected. Based on these findings, the simulation program using VR affects nursing education.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.2
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• pp.85-100
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• 2022

Recently, with the widespread expansion of convergence based on digital connectivity, the transportation and mobility fields are rapidly changing, and research related to this is also diversifying. This study aims to analyze the research trends in the mobility field and identify key research areas and topics. Topic modeling analysis has been proved as a useful approach for analyzing the research trends. The abstracts of 142 research papers concerning mobility from the Korean academic citation index were analyzed, derived 9 research topics and linked to 6 key elements of research framework. The result showed that 'Advanced vehicle and transportaion technology' and 'Linkage and integrated services among means for mobility' were most actively studied research fields. It also found that research on insurance, law, regulation for securing user's safety and conflict-resolving with the existing industry has been conducted.

• 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.