• Journal of the Korean Society for information Management
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• v.28 no.4
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• pp.7-31
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• 2011

The aims of this study are to provide an overview of research trends on user interface in the field of Information Science. This study attempts to address the following four questions: 1) what are the research areas or subject topics, 2) what are the patterns of user interface publication, 3) what methods are often used to what topics, and 4) what are the changes in the subject topics and research methods over the past ten years. It analyzed a total of 128 research articles published in four Korean LIS journals and one U.S. journal. The study also reviewed 72 articles published in Korean journals for identifying research trends. The study found that the most productive areas were 'web site evaluation', followed by 'search interface', 'information design' and 'interaction style design'. The most frequently used research methods were survey methods, followed by unobtrusive methods, and experiments. Journal of the Korean Society for Information Management published the most articles on research of user interface. The research of user interface was conducted more frequently in the early 2000s than later years.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.2
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• pp.353-378
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• 2014

The purpose of this study is to find factors to affect on the formation of semantic relation from terminology and what is to be affected by these factors to build the database scheme of terminology dictionary by a structural definition. In this research, 826,905 keywords of 88,874 social science articles and 985,580 keywords of 125,046 humanities science articles in the KCI journals from 2007 to 2011 were collected. From collected data, subject complexity, structural hole, term frequency, occurrence pattern and an effect between the number of nodes and the number of patterns which were derived from the semantic relation of linked terms of established 'STNet' System were analyzed. The summarized results from analyzed data and network patterns are as follows. Betweenness Centrality, term frequency, and effective size affect the numbers of semantic relation node. Among these factors, betweenness centrality was the most effective and effective size. But term frequency was the least effective. Betweenness Centrality, term frequency, and effective size affect the numbers of semantic relation type. Term frequency is the most effective. Therefore, when building a terminology dictionary, factors of betweenness centrality, term frequency, effective size, and complexity of subject are needed to select term. As a result, these factors can be expected to improve the quality of terminology dictionary.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.4
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• pp.111-139
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• 2006

Joint collection and sharing of specialized academic resources among academic libraries will not only promote academic research at universities in general but also further diversification and concentration process of academic libraries. For that both the government and universities should make concerted policy efforts to fortify individual characteristics of each academic library. This study proposes two concrete plans to build a national information management system comprising the specialized resources of academic libraries. One is to utilize the existing cooperative network of Korea Education & Research Information Service(KERIS) as a national hub for information exchange, and the other is to activate various regional or subject-based committees to encourage subject-oriented specialization of university libraries.

• The KIPS Transactions:PartB
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• v.12B no.6 s.102
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• pp.697-702
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• 2005

The focused crawler is a topic-driven document-collecting crawler that was suggested as a promising alternative of maintaining up-to-date web document Indices in search engines. A major problem inherent in previous focused crawlers is the liability of missing highly relevant documents that are linked from off-topic documents. This problem mainly originated from the lack of consideration of structural information in a document. Traditional weighting method such as TFIDF employed in document classification can lead to this problem. In order to improve the performance of focused crawlers, this paper proposes a scheme of locality-based document segmentation to determine the relevance of a document to a specific topic. We segment a document into a set of sub-documents using contextual features around the hyperlinks. This information is used to determine whether the crawler would fetch the documents that are linked from hyperlinks in an off-topic document.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.11
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• pp.521-526
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• 2017

Data format of Big data is diverse and vast, and its generation speed is very fast, requiring new management and analysis methods, not traditional data processing methods. Textual mining techniques can be used to extract useful information from unstructured text written in human language in online documents on social networks. Identifying trends in the message of politics, economy, and culture left behind in social media is a factor in understanding what topics they are interested in. In this study, text mining was performed on online news related to a given keyword using topic - oriented analysis technique. We use Latent Dirichiet Allocation (LDA) to extract information from web documents and analyze which subjects are interested in a given keyword, and which topics are related to which core values are related.

• Koreanishche Zeitschrift fur Deutsche Sprachwissenschaft
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• v.7
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• pp.43-60
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• 2003

오늘날 기계번역 Maschinelle Ubersetzung은 가속적인 발전선상에 놓여있다. 지난 10년 간 컴퓨터로 영어를 타국어로 번역하는 수준은 괄목할 만하다. 본 논문은 기계번역에 있어서 주제어 Topik 및 초점어 Fokus를 중심으로 발생하는 언어학적인 문제점, 특히 의미론적인 문제점을 다루었다 이를 위해 먼저 주제어와 초점어에 대한 언어학적인 개념을 다루어 보았다. 주제어란 한 문장에서 이미 알려진 사항, 즉 이미 주어진 단어이고, 초점어는 한 문장에서 새로운 사항, 즉 지금 전달하고자 하는 내용을 뜻한다 제 3장에서는 주제어와 초점어를 번역하기 위해 생성된 규칙들에 근거한 담화모델 Diskursmodell을 살펴보았다. 제 4장에서는 문장을 번역하는데 있어서 의미론상 발생하는 문제점들을 다루었다 그 문제점들은 다음과 같은 3가지로 요약될 수 있다: 첫째, 문장에서 부정형이 어디에 위치하느냐에 따라 문장의 의미가 달라진다. 둘째, 양화사 Quantor의 형태에 따라 문장의 의미가 달라진다. 셋째, 의문문과 화답문 Antwortsatz에 있어서 어느 내용을 강조하느냐에 따라 문장의 의미가 달라진다. 예를 들어 독일어는 단순히 단어의 위치만 변화시킬 수 있지만 다른 유럽어나 영어는 다른 방법들이 필요한 셈이다. 본 논문에서 제시되고 있는 기계번역의 규칙들은 주제어와 초점어에 관계되는 한 영어와 독일어에 한정되어 제시되었지만, 향후 한국어와 독일어의 기계번역을 위해 밑거름이 되리라 생각한다.

• Journal of Korea Port Economic Association
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• v.32 no.1
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• pp.79-95
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• 2016

This study identifies themes and trends in maritime economics and logistics by examining 303 papers published in international journals from 2000 to 2014 using keyword network analysis. Network analysis can be used because the collected data follow Zipf's law and the power law. Utilizing the degree centrality and betweenness centrality, we find the important keywords in each five year period and determine the importance of shared keywords. To further explain keyword centralities, we invented a Delta-C algorithm to show the trends of keywords over time. We found that degree centrality is useful for identifying important research themes in each period because it is mainly concerned with the number of connections. On the other hands, betweenness centrality is useful to determine the unique themes that emerge in each of the specific periods.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.136-148
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• 2013

I would like to trace back periodic social trend by searching if regular performance might have reflected on social trend on its theme by analyzing theme trend of The National Dance Company of Korea, Dance Company of Seoul city, Dance Company of KyungKi-Do and to provide the meaningful results for further study by checking if the theme of dancing performance is in relation with social structure. To perform this research, I had studied on previous thesis and reference books. For example, I selected three groups, of The National Dance Company of Korea, Dance Company of Seoul city, Dance Company of KyungKi-Do, to research their theme of regular performance through checking previous thesis related to, performance material, news articles, pamphlets from beginning to present. How to analyze is being proceeded from foundation of dancing company to present according to Kim Byungseok's classification method, which was consistently used for searching theme trend from previous study as below; 1) Theme based on traditional conscious,2) Theme based on Literature, 3) Theme based on Historic issues, 4) Theme based on abstract, 5) Theme based on reality, 6)Theme based on social issues.

• Journal of Convergence for Information Technology
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• v.7 no.5
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• pp.149-155
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• 2017

The aim of this study is to provide a direction for future research by examining research trends on women in social welfare field in recent years. This study has theoretical significance in terms of expanding the horizon of social welfare knowledge by accumulating new research results based on previous research results on this topic. Using content analysis, we analyzed 37 studies on women published in Korean Journal of Social Welfare during 2009 ~ 2017 focusing on research subjects, research topics, and methods. The results of analyzing the research subjects indicated that women were described as client, family, and worker. In terms of the research topics, the results revealed a total of thirteen themes. In addition, the results showed that empirical research methods were dominant. It is suggested that more efforts should be made in future studies to broaden the scope of research subjects, topics, and methodologies in this filed.

• Journal of the Korean Society for Library and Information Science
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• v.43 no.1
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• pp.161-187
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• 2009

Today's society demands that Individuals need to acquire skills to select information they need, read critically that have been gathered and use them for their advantage. The ability to actively respond to information can be cultivated through reading which facilitates creative, critical thinking, and self-initiated learning. This research presents results from a study in which subject-centered approach to reading guidance was applied to elicit positive changes in reading attitudes and to contribute to the elevation of self-concept among adolescents. Using survey questionnaire, we compared the changes in reading attitude before and after treatment. The results indicate that subject-centered reading instruction brought positive changes in reading attitude among middle school students, contributed positively to the formation of self-concept and the improved student initiated learning.