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A Study on the Macro Analysis of Knowledge Structure of the Domestic Korean Studies for Identifying the Research Fields (국내 한국학 분야의 연구 영역 식별을 위한 거시적 지식구조 분석 연구)

  • Song, Min-Sun;Ko, Young Man
    • Journal of the Korean Society for information Management
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    • v.32 no.3
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    • pp.221-236
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    • 2015
  • The purpose of this study is to analyze the research fields constituting the knowledge structure of the Korean Studies by applying hierarchical clustering method to domestic journal papers in Korean Studies. We analyzed 3,800 papers containing Korean author keyword that were listed in 14 kinds of Korean Studies journals published in 2004-2013, which have average impact factor more than 0.5 in 2011-2013. The results of the analysis show that the central research fields are the subjects related to political & social problems based on Confucian ideas focusing on Neo-Confucianism (Seonglihak) and Realist School of Confucianism (Silhak), to the political situation associated with territorial division of the Korean peninsula, and to the history from the period of japanese colonialism to modern and contemporary. It has been also found that the temporal backgrounds of researches in domestic Korean Studies were related to the modern times and the Joseon Dynasty periods, rather than the time of the ancient and contemporary.

A Semantic-Based Feature Expansion Approach for Improving the Effectiveness of Text Categorization by Using WordNet (문서범주화 성능 향상을 위한 의미기반 자질확장에 관한 연구)

  • Chung, Eun-Kyung
    • Journal of the Korean Society for information Management
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    • v.26 no.3
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    • pp.261-278
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    • 2009
  • Identifying optimal feature sets in Text Categorization(TC) is crucial in terms of improving the effectiveness. In this study, experiments on feature expansion were conducted using author provided keyword sets and article titles from typical scientific journal articles. The tool used for expanding feature sets is WordNet, a lexical database for English words. Given a data set and a lexical tool, this study presented that feature expansion with synonymous relationship was significantly effective on improving the results of TC. The experiment results pointed out that when expanding feature sets with synonyms using on classifier names, the effectiveness of TC was considerably improved regardless of word sense disambiguation.

Development Tendency of Altmetrics Research: Using Social Network Analysis and Co-word Analysis (소셜네트워크 분석과 Co-word 분석을 사용한 Altmetric 연구 개발동향)

  • Lee, Hyun-Chang;Li, Jiapei;Shin, Seong-Yoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.11
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    • pp.2089-2094
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    • 2017
  • Altmetrics is the measurement index and quantitative data to complement the traditional indicators based on the citation. Altmetrics research has acquired greater importance in the past few years, partly due to the complement to the traditional bibliometrics. This paper aims to reveal the research status and trends in altmetrics research. A total of 187 articles from 2005 to 2017 are obtained and analyzed, illustrating a steady rise (S-mode) in altmetrics research since 2005. Using social network analysis and co-word analysis, the author cooperation network and keyword co-occurrence network are developed. The core scientists and eight international research groups are discovered, reflecting that researchers in this field have a low degree of cooperation. Four topics of altmetrics research are discovered by hierarchical clustering. The results can be useful for the advanced research of altmetrics.

Writing education using Characteristics at hypertext

  • Lee, Hee-Young
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.6
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    • pp.9-14
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    • 2018
  • This paper focuses on how the latest progress in digital media and technology affects the writing education environment. In the contemporary era, collecting numerous pices of information online, and arranging them to create new knowledge is important. There is also a need to seek new methods for writing education to stay in tune with the times. To that end, this paper suggests an open writing model using hypertexts. This writing model consists of a total of five stages, which are use of information, compilation of information, open mutual discussion, search of additional information and writing to recreate knowledge. The final outcome of such writing is writing using footnotes. By describing the gist of the keyword and adding numerous footnotes, such writing opens up an infinite possibility of re-creating information into new knowledge. This method can help university students who are accustomed to the digital society to proactively use information and improve multi-disciplinary communication skills required today. This author applied such a model to university writing education and found that more than 82% of the students were satisfied. Through the process of collaboration and recreation of knowledge in writing, learners found distinct benefits and noted their horizons had broadened. Given this effect, the open writing model using hypertexts is meaningful in that it forms a learning community that goes beyond a one-way feedback from instructor to student and instead nudges students to realize collective intellect. Moreover, it is meaningful in that it moves away from a top-down approach of the instructors passing down knowledge about writing and its rules, and towards a more proactive involvement by students in creating knowledge.

A Study on Relation Analysis between Book and Category in Bibliotherapy Catalog (독서치료 독서목록에서의 카테고리와 치유서의 관계 분석 연구)

  • Baek, Jae Eun
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.26 no.2
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    • pp.217-239
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    • 2015
  • For bibliotherapy, users should understand their own life situation, select and access the book (self-help book). User access to book through situation catalog (or list) in reading list, but user is difficult to define and simplify in one word after understanding their own situation. Catalog of bibliotherapy reading list classifies books using one situation category or maximum of two categories other than the age-specific classification. In this study, the author approached and analyzes based on the result of the research on the relationship between bibliotherapy and reading list, in order that access more efficiently to book what user wants. Bibliotherapy reading-list by using mapping and crosswalk between categories, and analyzes category of reading lists through comprehensive review.

Top 50 cited articles on dental stem cell research

  • Kodonas, Konstantinos;Fardi, Anastasia;Gogos, Christos;Economides, Nikolaos
    • Restorative Dentistry and Endodontics
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    • v.45 no.2
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    • pp.17.1-17.10
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    • 2020
  • Objectives: Citation analysis provides a unique insight into how scientific interests and research trends have changed over time. The aim of this study was to report on the 50 top-cited papers in dental stem cell research using the Science Citation Index Expanded provided by the Web of Science database to determine the academic importance of each contribution. Materials and Methods: After the screening, article title and type, total citations and citations per year, publication journal, publication year, first and senior authors, country of origin, institution, and university of reprint author were documented for the 50 top-cited articles in dental stem cell research. Keyword analysis was performed to determine which keywords were most/least popular. Results: Top 50-cited articles were cited between 179 to 2,275 times. The majority of papers were published in 2008 and originated from the United States with the highest contribution from the National Institute of Dental & Craniofacial Research. Journal of Dental Research published the highest number of top-cited articles, followed by Stem Cells and Journal of Endodontics. The greatest number of articles was published by two individual authors, Shi and Gronthos. Among 197 unique keywords, dental pulp stem cells and mesenchymal stem cells were the most frequently used. Thirty-eight of the 50 most cited articles were original articles, and 37 of them were in the field of basic science. Conclusions: Basic science studies in dental stem cell research published in high impact factor journals had the highest citation rates.

Users' Perception on Theses and Dissertation Services (학위논문 이용현황과 활성화 방안에 관한 연구)

  • Shin, Yu-Ri;Chung, Eun-Kyung
    • Journal of Information Management
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    • v.40 no.1
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    • pp.29-46
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    • 2009
  • Theses and Dissertation(TD) have been considered one of valuable scholarly resources, while there have existed some limitations to collect, organize, and provide them. The purpose of this study is to investigate users' perception on six TD services from five institutions and to propose improvement strategies. Six TD services includes National Library, National Assembly Library, RISS, dCollections, NDSL, and Council of Theses and Dissertation Common Use. Based on the survey results from 151 users, the findings of this study identified that National Assembly Library and RISS were preferred by users. In addition, users preferred keyword, full text, department, abstract, table of contents, as well as title and author over other bibliographic information. More importantly, users needs were placed on whether specific TD services provide full text or not. In case that is not possible to provide full text, users have a preference for full text link information. As a result, in order to improve the TD services, service promotion activities, diverse access points, and full text provision are desirable.

An Analysis of the Research Topics of the Academic Papers Published in the Journal of Korean Society of Archives and Records Management: From 2001 to 2017 (『한국기록관리학회지』 논문의 연구 주제 분석 - 2001년부터 2017년까지 -)

  • Kim, Heesop;Kang, Bora
    • Journal of Korean Society of Archives and Records Management
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    • v.18 no.4
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    • pp.183-204
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    • 2018
  • The main purpose of this study was to investigate the research topics of the Journal of Korean Society of Archives and Records Management, which is one of the main academic journals of archival research in Korea. To achieve this objective, a total of 875 author-assigned Korean keywords were collected from the 390 papers published from the first issue (i.e., 2001) to the current issue (i.e., 2017) in the target journal. The collected keywords were analyzed using NetMiner V.4 to discover their frequency, degree centrality, and betweenness centrality. Results showed that "Archival Information Services," "Electronic Records," "Historical Archives," "Archivists," and "National Archives of Korea" showed the most frequently conducted research topics; whereas "Archival Information Services," "Electronic Records," "Evaluation," "Locality Archives," and "Retrieval System" were the most influencing research topics. On the other hand, "Archival Information Services," "Archivists," "Electronic Records," "Archive," and "Metadata" showed the most widely intervening research topics in this research.

Bibliometric Analysis of the Effect of Acupuncture on Cancer Pain in the Last 20 Years (최근 20년간 침의 암성통증에 대한 효과 연구의 계량서지학적 분석)

  • Park, Han-song;Lee, Do-eun;Ha, Ji-su;Seo, Ho-seok;Kim, Jin-won
    • The Journal of Internal Korean Medicine
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    • v.42 no.3
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    • pp.279-292
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    • 2021
  • Objectives: Analyze papers on the effect of acupuncture on cancer pain from a macroscopic point of view, suggesting global trends and future research directions to promote acupuncture treatment for cancer pain. Methods: By filtering the papers searched for (acupuncture) AND (cancer pain) in the Web of Science database, 351 papers were selected and analyzed by year, field, journal, institution, author, and keyword. Results: Most papers were published in 2020, and research was active in the field of complementary and alternative medicine. Research on the effects of acupuncture in cancer pain has been active in cancer centers and university hospitals, research has been active in various countries. The most frequently mentioned keywords in the titles and abstracts were acupuncture, pain, and quality of life. The latest top 5 keywords were inhibitor-induced arthralgia, acupuncture therapy, risk factors, opioids, and recovery. Conclusions: Acupuncture treatment has the potential to reduce pain and improve quality of life in cancer patients, and it should be actively studied in the future.

A Study on the Analysis of Influx Factors in Urban Parks Using Data Mining - Focus on Yangjae Citizens' Forest Park - (데이터 마이닝을 활용한 도시공원 유입 요인 분석 연구 - 양재시민의 숲 공원을 대상으로 -)

  • Park Sang Hun
    • Journal of the Korean Regional Science Association
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    • v.39 no.3
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    • pp.35-48
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    • 2023
  • This study analyzed the inflow factors of Yangjae Citizen's Forest Park using social big data generated online. To this end, the applicability of the emotional information analysis method is to be confirmed as a method of analyzing the perception of the city park and confirming the difference in the characteristics and use of the park. The analysis is based on big data, and as the core of the study is keyword network analysis, the methodology of the 'emotional information analysis method' patented by the author was applied. As a result of the analysis, among the influx factors of Yangjae Citizens' Forest recognized by citizens, the most positive emotional factor was derived as a factor related to 'park contents', and the negative emotional factor was derived as a factor related to 'park management'. These research results suggest that more in-depth program development and operation are needed to discover 'park contents' when implementing urban park revitalization support projects in the future