• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.628-637
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• 2019

The purpose of this study was to investigate the systematic review and meta analysis the effect of community based rehabilitation on elderly people with mild cognitive impairment by ICF factors. This study used PubMed MEDLINE, Cochrane CENTRAL database from January 2009 to January 2019. As a result, a total of 5 studies were selected. The ICF factor effect size of the community based rehabilitation was 4.77 for physical function and structure, and 6.17 for activity and participation. The results of this study showed that the effect of community based rehabilitation of the elderly with mild cognitive impairment is effective on physical function, structure, activities and participation.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.4
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• pp.51-71
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• 2022

Since the 1990s, the growth of the public library program field progressed rapidly at home and aborad as the proportion of programs increased as a major job for public libraries in response to social changes and user demands. However, it is difficult to find a study to grasp the overall research trend in the field of public library programs in Korea. Accordingly, intellectual structure analysis was performed based on keyword profiling to examine research trends in the domestic public library program field. In particular, keyword analysis, network analysis and cluster analysis, and period/year analysis were performed step by step based on the author keywords (uncontrolled keywords) of degree papers and academic journals retrieved from the RISS database. In addition, based on the results of this intellectual structure analysis, the research trends of public library programs were comprehensively reviewed and future research tasks were presented.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.2
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• pp.389-396
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• 2024

Generative AI has recently been utilized across all fields, achieving expert-level advancements in deep data analysis. However, identifying regional names in scientific literature remains a challenge due to insufficient training data and limited AI application. This study developed a standardized dataset for effectively classifying regional names using address data from Korean institution-affiliated authors listed in the Web of Science. It tested and evaluated the applicability of machine learning and deep learning models in real-world problems. The BERT model showed superior performance, with a precision of 98.41%, recall of 98.2%, and F1 score of 98.31% for metropolitan areas, and a precision of 91.79%, recall of 88.32%, and F1 score of 89.54% for city classifications. These findings offer a valuable data foundation for future research on regional R&D status, researcher mobility, collaboration status, and so on.

• Journal of the Korean Society for information Management
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• v.41 no.2
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• pp.47-69
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• 2024

Despite many changes occurring in the objects and methods of reading, the importance of reading as the most effective means of developing human intellectual ability is consistently emphasized. However, in Korea, reading tends to be perceived as a part of tedious and rigid education or learning activities rather than an act of giving pleasure and joy while accompanied by fun and interest. In addition, compared to the high interest and emphasis on reading, discussions on reading programs to systematically implement them are relatively insufficient, and it is difficult to find a study in Korea that grasp the overall research trend in the field of reading programs. Accordingly, in order to generally examine research trends in the field of domestic reading programs, an intellectual structure analysis method based on keyword profiling was applied. In particular, basic analysis, keyword analysis, research area analysis, and analysis by period and year were performed in stages based on the keywords of theses and academic journal articles in the domestic reading program field retrieved from the RISS database. In addition, future research tasks were presented by comprehensively reviewing the research trends of domestic reading programs identified as a result of this intellectual structure analysis.

• Journal of the Korean Society for information Management
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• v.28 no.2
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• pp.117-133
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• 2011

There have been little comprehensive research for studying impact of foreign journals on Korean scientists. The main reason for this is because there was no extensive citation index database of domestic journals for analysis. Korea Institute of Science and Technology Information (KISTI) built the Korea Science Citation Database (KSCD), and have provided Korea Science Citation Index (KSCI) and Korea Journal Citation Reports (KJCR) services. In this article, citing behavior of Korean scientists on foreign journals was examined by using KSCD that covers Korean core journals. This research covers (1) analysis of foreign document types cited, (2) analysis of citation counts of foreign journals by subject and the ratio of citing different disciplines, (3) analysis of language and country of foreign documents cited, (4) analysis of publishers of journals and whether or not journals are listed on global citation index services and (5) analysis for current situation of subscribing to foreign electronic journals in Korea. The results of this research would be useful for establishing strategies for licensing foreign electronic journals and for information services. From this research, immediacy citation rate (average 1.46%), peak-time (average 3.9 years) and half-life (average 8 years) of cited foreign journals were identified. It was also found that Korean scientistis tend to cite journals covered in SCI(E) or SCOPUS, and 90% of cited foreign journals have been licensed by institutions in Korea.

• Journal of the Korean Society for information Management
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• v.32 no.1
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• pp.135-152
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• 2015

The goal of this paper is to explore the field of Computer and Information Science with the aid of text mining techniques by mining Computer and Information Science related conference data available in DBLP (Digital Bibliography & Library Project). Although studies based on bibliometric analysis are most prevalent in investigating dynamics of a research field, we attempt to understand dynamics of the field by utilizing Latent Dirichlet Allocation (LDA)-based multinomial topic modeling. For this study, we collect 236,170 documents from 353 conferences related to Computer and Information Science in DBLP. We aim to include conferences in the field of Computer and Information Science as broad as possible. We analyze topic modeling results along with datasets collected over the period of 2000 to 2011 including top authors per topic and top conferences per topic. We identify the following four different patterns in topic trends in the field of computer and information science during this period: growing (network related topics), shrinking (AI and data mining related topics), continuing (web, text mining information retrieval and database related topics), and fluctuating pattern (HCI, information system and multimedia system related topics).

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.489-498
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• 2012

This paper consists of two parts: In the first part, we describe our work to build hierarchical knowledge base of digital library patron's research interests and learning topics in various scholarly areas through analyzing well classified Electronic Theses and Dissertations (ETDs) of NDLTD Union catalog. Journal articles from ACM Transactions and conference web sites of computing areas also are added in the analysis to specialize computing fields. This hierarchical knowledge base would be a useful tool for many social computing and information service applications, such as personalization, recommender system, text mining, technology opportunity mining, information visualization, and so on. In the second part, we compare four grouping algorithms to select best one for our data mining researches by testing each one with the hierarchical knowledge base we described in the first part. From these two studies, we intent to show traditional verification methods for social community miming researches, based on interviewing and answering questionnaires, which are expensive, slow, and privacy threatening, can be replaced with systematic, consistent, fast, and privacy protecting methods by using our suggested hierarchical knowledge base.

• 재활복지
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• v.18 no.4
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• pp.165-186
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• 2014

The purpose of the study is intended to analysis on students adjustment of students with disabilities in a special class of the elementary school focused on KCI journals through a systematic review. This study was searched from papers published from Jan, 2004 to May, 2014 using KISS, DBPIA, RISS, Google databases. The key words were "inclusive education, special class, inclusive class, student with disabilities, school adjustment, school life, school adjustment scale, elementary school". Results of data analysis were follows; 1. A total of 35 papers were analyzed. Except for 6 papers published in 2004~2007, 29 papers were published after 2008.; 2. The participant of study subject was total 141. Students with intellectual disability were 61.7%. Students with learning disabilities were 17.0%.; 3. The assessment domain of study was analyzed total 51 data.; academic achievement and task performance (25.4%), class attitude and participatory behavior(23.5%), problem behavior(21.5%). The Study in student with intellectual disability was 10 assessment domains.; 4. The method of assessment was total 41.; the use of operational definition(56.1%), the development of test (17.1%), and the use of assessment tool(14.6%).

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.425-436
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• 2022

The purpose of this study was to explore the trends of research on MBTI (Myers-Briggs Type Indicator) and nursing students, and to suggest directions for nursing education geared to the needs of the future. The literature was searched using the National Assembly Library, Korean Studies Information Service System, DBPIA, Korean Medical database and National Discovery for Science Library to identify studies including MBTI personalty among nursing students. This study selected a total of 22 precedent studies regarding the investigation of MBTI personalty and nursing students. All studies were quantitative study and 63.6% of them were nonexperimental cross-sectional study. The most frequently selected category of variables was cognitive-perceptual related variables includes self-efficacy, self-eseem, academic self efficacy and etc. The most frequent MBTI personality type of nursing students was ISTJ (12.3%) and ESTJ (11.5%) was the second. Based on the findings of this study, longitudinal reasearch is recommanded on MBTI personality type and nursing specialty choice. Implications for teaching and learning strategies, and for using the results of MBTI in nursing students' career guidence are discussed.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.2
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• pp.357-379
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• 2010

The citation analysis is not applied to group measurements but to individual papers finding their impact factors among citation chains which are created by tracing citing-cited relationship between any two papers in data set. The individual impact factor is measured by adding each value derived from citation chain. Each paper's impact factor index is calculated by adding the values of each index by direct citing-cited relationship, and the values of each impact factor made by indirectly influencing to the papers in the citation chain. The research introduces a grace period, in which the system holds the papers not cited by other papers yet, but are expected to be cited within this period. Eventually not cited papers after the grace period would be eliminated by the system. The experiment suggests a reasonable database in which the highly influenced papers are gathered, and could be serviced in stead of buying databases filled with worthless not-cited-papers.