• The Journal of the Korea Contents Association
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• v.21 no.1
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• pp.333-342
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• 2021

In this study, we analyzed the vocabulary, lemmas, keywords, and n-grams in 『Treasure Island』 to identify certain linguistic features of this British-American children's adventure novel. The current study found that, contrary to the popular claim that frequently-used words are important and essential to a story, the set of frequently-used words in 『Treasure Island』 were mostly function words and proper nouns that were not directly related to the plot found in 『Treasure Island』. We also ascertained that a list of keywords using a statistical method making use of a corpus program was not good enough to surmise the story of 『Treasure Island』. However, we managed to extract 30 keywords through the first quantitative keyword analysis and then a second qualitative keyword analysis. We also carried out a series of n-gram analyses and were able to discover lexical bundles that were preferred and frequently used by the author of 『Treasure Island』. We hope that the results of this study will help spread this knowledge among British-American children's literature as well as to further put forward corpus stylistic theory.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.1
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• pp.393-413
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• 2021

Digital humanities, which creates new and innovative knowledge through the combination of digital information technology and humanities research problems, can be seen as a representative multidisciplinary field of study. To investigate the intellectual structure of the digital humanities field, a network analysis of authors and keywords co-word was performed on a total of 441 papers in the last two years (2019, 2020) at the Digital Humanities Conference. As the results of the author and keyword analysis show, we can find out the active activities of Europe, North America, and Japanese and Chinese authors in East Asia. Through the co-author network, 11 dis-connected sub-networks are identified, which can be seen as a result of closed co-authoring activities. Through keyword analysis, 16 sub-subject areas are identified, which are machine learning, pedagogy, metadata, topic modeling, stylometry, cultural heritage, network, digital archive, natural language processing, digital library, twitter, drama, big data, neural network, virtual reality, and ethics. This results imply that a diver variety of digital information technologies are playing a major role in the digital humanities. In addition, keywords with high frequency can be classified into humanities-based keywords, digital information technology-based keywords, and convergence keywords. The dynamics of the growth and development of digital humanities can represented in these combinations of keywords.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.239-259
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• 2022

Since 2019, research on microplastics has been actively conducted around the world, so analyzing the differences between domestic and foreign microplastics research can be a milestone in establishing the direction of domestic research. In this study, microplastic papers from KCI and WoS were extracted and the differences between domestic and foreign studies were analyzed using a network analysis methodology based on big data such as author keyword co-occurrence word analysis, thesis co-citation analysis, and author co-citation analysis. As a result of the analysis, the analysis of the research topic confirmed that studies that could affect the human body and the treatment of microplastics in daily life were additionally needed in Korea. In the analysis of the depth of thesis citation that examines the quality of research, it was found that Korea was still insufficient at 2.25 overseas and 1.39 in Korea. In the analysis of the composition of the joint research front, where various researchers participate and share information, 3 out of 22 clusters in Korea are Star type. In the case of overseas, all 19 clusters have a mesh structure, so it was confirmed that information flow and sharing were insufficient in specific research fields in Korea. These research results confirmed the need to expand the research topic of microplastics, improve the quality of research, and improve the research promotion system in which various researchers participate. In addition, if the automation program is developed based on topic modeling, it will be possible to build a system capable of real-time analysis.

• Journal of the Korean Society for information Management
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• v.17 no.2
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• pp.139-153
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• 2000

This article focuses on a transaction log analysis of the DISCOVER online catalog user interface at Duksung Women's University Library. The results show that the most preferred access point is the title field with rate of 59.2%. The least used access point is the author field with rate of 11.6%. Keyword searching covers only about 16% of all access points used. General failure rate of searching is 13.9% with the highest failure rate of 19.8% in the subject field and the lowest failure rate of 10.9% in author field.

• CELLMED
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• v.7 no.3
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• pp.11.1-11.3
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• 2017

The aim of this article is to argue that a valuable tool to calm impatience is to listen to Sijo. The author seeks to argue that the best way to calm impatience is to listen to Sijo. Sijo refers to a slow and mellow music in the family of Han Ak (Korean music, 韓樂). The term slow is a revered keyword in our culture. "Slow" is a blank word in Han Ak (Korean music, 韓樂). The soul of Wol-ha Kim's Sijo is a beauty of space and easiness. Therefore, her voice will help relax the muscles of the listener and calm the soul. It is akin to the struggles of modern people competing for something excessively but ending up with nothing. We often find that gentle jogging is better than sprinting. Slow music is thus good for one's health. For example, we know that our skin can become beautiful and that real beauty can be obtained only when the body and mind are at rest and in comfort. Physical appearance depends on a healthy mind and body. The author believes that Sijo for music therapy is good for our mental health. If its effectiveness is confirmed after performing tests on animals and humans in an experimental study, we can use this type of music to treat patients with psychological illnesses.

• The Journal of Industrial Distribution & Business
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• v.13 no.6
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• pp.1-7
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• 2022

Purpose: This study aims to investigate an overview of the reputation of e-commerce from 2001-2021. Research design, data and methodology: This study uses a bibliometrics technique involving published results from the Scopus database. Keyword tracking uses the terms e-commerce + reputation. The data collected meets the criteria for the type of journal publication. Data was collected using the Publish or Perish (PoP) program and exported into VOSviewer. Bibliometrics examines certain fields of science based on several components such as author and co-author, citation and co-citation, keywords related to theme mapping, origin, and source of publication. Data was collected using the Publish or Perish (PoP) program and exported into VOSviewer. Results: The results show the total citations from 118 papers are 1429, with citations per paper of 12.11 and citations per year of 68.05. The trend of publications from 2001-2021 shows the dynamics of increasing or decreasing, but this trend is still developing. Conclusions: This paper also presents articles that have contributed greatly to the study of e-commerce reputation, the most productive authors, and clustered themes regarding e-commerce reputation. Reputation is an important area of e-commerce research. Reputation is also essential factors for e-commerce in facing business competition and needs to be a consideration for digital business practitioners.

• Journal of Korean Medical classics
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• v.30 no.1
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• pp.17-29
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• 2017

Objectives : Many curative methods are used utilized in order to rid human body of disease when people become sick. Traditional Korean medicine generally prescribe methods that involve acupunture, moxibustion, or herb formulae. However, different types of foods are sometimes used as well. While wondering the history and efficacy of Qi-elevation foods that were consumed by Koreans in the past, the author discovered that a record from the Joseon Dynasty, called The Daily Record of Royal Secretariat of Joseon Dynasty, henceforth the Records, contained information about different types of porridge. Hence, the author looked through the records of porridge as written in the historical material in an attempt to learn the examples and efficacy of medicine-porridge consumed in Joseon's royal palace. Methods : After searching for the keyword, 'porridge', in the Records as provided by the National Institute of Korean History, the author extracted the porridges recorded during the Yeongjo period that each has its own special name. Results : Different types of porridge were recorded in the Records as following: arrowroot porridge, bean-leaf porridge, mung bean porridge, bean porridge, malt-rice porridge, oriental arborvitae seed porridge, crucian porridge, lotus seed porridge, adlay porridge, red bean porridge, welsh onion porridge, milk porridge, seashell porridge, ginko nut porridge, black sesame porridge, and mandarin porridge. Each porridge was used for the purpose of alleviating any disease that afflicted the king Yeongjo or his royal family members in relation with the ingredient herb's medicinal function. Conclusions : These porridges consumed by the king Yeongjo and his royal family members were used not only with a purpose of aiding their body's recovery from disease, but with the goal to actively curing them of ailments.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.1
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• pp.45-67
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• 2015

The purpose of this study is to analyse the semantic relations of terms in STNet, a structured terminology dictionary based on author keywords of humanities, social sciences, and art and sport in the Korea Citation Index (KCI) and to describe the procedure for optimizing the relation types and specifying the name of relationships. The results indicate that four logical criteria, such as creating new names for relationships or limitation of typing the relationship by the appearance frequency of same type, consideration of direction of relationship, reflection to accept the existing name of relationships, are required for the optimization of the typing and naming the relationships. We applied these criteria to the relationships in the class "real person" of STNet and the result shows that 1,135 out of 1,743 uncertain relationships such as RT, RT_X or RT_Y are specified and clarified. This rate of optimization with ca. 65% represents the usefulness of the criteria applicable to the cases of database construction and retrieval.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.129-136
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• 2015

We investigate the underlying structure of big data research domain, which is diversified and complicated using bottom-up approach. For that purpose, we derive a set of articles by searching "big data" through the Korea Citation Index System provided by National Research Foundation of Korea. With some preprocessing on the author-provided keywords, we analyze bibliometric data such as author-provided keywords, publication year, author, and journal characteristics. From the analysis, we both identify major sub-domains of big data research area and discover the hidden issues which made big data complex. Major keywords identified include SOCIAL NETWORK ANALYSIS, HADOOP, MAPREDUCE, PERSONAL INFORMATION POLICY/PROTECTION/PRIVATE INFORMATION, CLOUD COMPUTING, VISUALIZATION, and DATA MINING. We finally suggest missing research themes to make big data a sustainable management innovation and convergence medium.

• 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.