• 한국치위생학회지
• /
• 제21권5호
• /
• pp.639-644
• /
• 2021

Objectives: The purpose of this study was to analyze the factors that affected the number of citations for articles published in the Journal of Korean Society of Dental Hygiene based on previous studies. Methods: Information on papers including the number of citations was collected using a web crawling technique. The effect of the number of author keywords, the number of Medical Subject Headings (MeSH) keywords, MeSH match rate, abstract word count and keyword-abstract ratio on the number of citations was analyzed by multiple regression analysis. Results: The use of the MeSH keyword did not have a significant effect on the number of citations. Among the other factors, only the keyword-abstract ratio was statistically significant. Conclusions: Select a topic of constant interest in the field, write the title in detail using colons or asterisks if necessary, and do not repeat the words used in the title in keywords. Select specific keywords deeply related to the topic. In particular, choice words or phrases that are frequently used in the abstract. If the MeSH keyword selection contradicts the previous strategies, boldly give up the MeSH keyword.

• 한국전자통신학회논문지
• /
• 제13권1호
• /
• pp.141-146
• /
• 2018

저자가 작성하는 논문의 저자 키워드는 논문 내용의 특징을 나타내는 가장 중요한 요소이며, 이를 실시간으로 분석하여 사용자에게 제공하게 함으로써, 연구동향을 파악하는 것이 가능하다. 서지로 작성된 논문의 비정형 데이터를 데이터베이스로 구축 하고, 이를 활용하여 실시간 탐색이 가능하도록 색인데이터 구조를 만든다. 특정 키워드가 포함된 논문을 색인데이터 구조에서 탐색하고, 저자키워드를 대상으로 추출, 클러스터링 하여 가중치에 따라 크기별로 나타낼 수 있는 워드클라우드로 사용자에게 제공하여, 연구동향을 가시화 하는 방법을 설계하였다. 또한, 구현된 시스템에서 "바이러스"와 "홍채인식" 키워드를 통하여 연구동향 분석 결과를 제시하였다.

• 정보관리학회지
• /
• 제39권1호
• /
• pp.309-330
• /
• 2022

학문의 구조, 특성, 하위 분야 등을 계량적으로 규명하는 지적구조 분석 연구가 최근 급격히 증가하는 추세이다. 지적구조 분석 연구를 수행하기 위하여 전통적으로 사용되는 분석기법은 서지결합분석, 동시인용분석, 단어동시출현분석, 저자서지결합분석 등이다. 이 연구의 목적은 키워드서지결합분석(KBCA, Keyword Bibliographic Coupling Analysis)을 새로운 지적구조 분석 방식으로 제안하고자 한다. 키워드서지결합분석 기법은 저자서지결합분석의 변형으로 저자 대신에 키워드를 표지로 하여 키워드가 공유한 참고문헌의 수를 두 키워드의 주제적 결합 정도로 산정한다. 제안된 키워드서지결합분석 기법을 사용하여 Web of Science에서 검색된 'Open Data' 분야의 1,366건의 논문집합을 대상으로 분석하였다. 1,366건의 논문집합에서 추출된 7회 이상 출현한 63종의 키워드를 오픈데이터 분야의 핵심 키워드로 선정하였다. 63종의 핵심 키워드를 대상으로 키워드서지결합분석 기법으로 제시된 지적구조는 열린정부와 오픈사이언스라는 주된 영역과 10개의 소주제로 규명되었다. 이에 반해 단어동시출현분석의 지적구조 네트워크는 전체 구성과 세부 영역 구조 규명에 있어 미진한 것으로 나타났다. 이러한 결과는 키워드서지결합분석이 키워드 간의 서지결합도를 사용하여 키워드 간의 관계를 풍부하게 측정하기 때문이라고 볼 수 있다.

• 한국도서관정보학회지
• /
• 제45권1호
• /
• pp.149-171
• /
• 2014

본 연구는 서지기술의 국제적 표준으로 등장한 RDA의 설계취지를 반영하여 KORMARC의 24X 필드를 중심으로 정보검색결과 저작의 집중화 방안에 대해 다룬다. 이를 위해 한국문헌자동화 목록형식인 KORMARC 시스템에서 24X필드의 데이터 입력방법을 분석하여 문제점을 밝혀내고, 이를 해결할 수 있는 방안을 제안한다. 저작의 집중화 방안에는 (1) 관제표기 방법의 개선, (2) 통일표제 사용방법의 개선, (3) 부호가 사용된 표제의 기술방법 개선 등이다. 이를 통해, 이용자들은 MARC 데이터베이스로부터 원하는 정보를 전방일치 검색으로 효과적으로 검색 할 수 있으며, 검색결과가 집중화되어 자료를 식별하는데 보다 용이할 수 있음을 밝혀냈다.

• Journal of Information Science Theory and Practice
• /
• 제9권3호
• /
• pp.76-106
• /
• 2021

The study analyzed bibliometric data of papers published in Korea Citation Index (KCI) and Web of Science (WoS) journals from 2002 to 2021. After examining size differences of KCI and WoS domains in the number of authors, institutions, and journals to put publication and citations counts in perspective, the study investigated co-authorship patterns over time to compare collaboration trends of Korean and international scholars and analyzed the data at author, institution, and journal levels to explore how the influences of authors, institutions, and journals on research output differ across domains. The study also conducted frequency-based analysis of keywords to identify key topics and visualized keyword clusters to examine topic trends. The result showed Korean LIS authors to be twice as productive as international authors but much less impactful and Korean institutions to be at comparable levels of productivity and impact in contrast to much of productivity and impact concentrated in top international institutions. Citations to journals exhibited initially increasing pattern followed by a decreasing trend though WoS journals showed far more variance than KCI journals. Co-authorship trends were much more pronounced among international publication, where larger collaboration groups suggested multi-disciplinary and complex nature of international LIS research. Keyword analysis found continuing diversification of topics in international research compared to relatively static topic trend in Korea. Keyword visualization showed WoS keyword clusters to be much denser and diverse than KCI clusters. In addition, key keyword clusters of WoS were quite different from each other unlike KCI clusters which were similar.

• 대한예방한의학회지
• /
• 제25권2호
• /
• pp.33-43
• /
• 2021

Objectives : This study seeks to grasp the current status of Koryo medical research in North Korea, by focusing on researchers and research topics. Methods : A network analysis of co-authors and keyword which were extracted from Koryo Medicine - a North Korean traditional medicine journal, was conducted. Results : The results of author network analysis was a sparse network due to the low correlation between authors. The domain-wide network density of co-authors was 0.001, with a diameter of 14, average distance between nodes 4.029, and average binding coefficient 0.029. The results of the keyword network analysis showed the keyword "traditional medicine" had the strongest correlation weight of 228. Other keywords with high correlation weight was common acupuncture (84) and intradermal acupuncture(80). Conclusions : Although the co-authors of the Koryo Medicine did not have a high correlation with each other, they were able to identify key researchers considered important for each major sub-network. In addition, the keywords of the Koryo Medicine journals had a very high linkage to herbal medicines.

• 한방재활의학과학회지
• /
• 제34권1호
• /
• pp.49-64
• /
• 2024

Objectives By bibliographically analyzing acupuncture treatment studies for temporomandibular disorders over the past 20 years, we found an overview of global trends and a new perspective on future research directions. Methods We searched on the Web of Science webpage through the formula (TS=[temporomandibular] OR TS=[craniomandibular] OR TS=[jaw]) AND (TS=[^*acupuncture] OR TS=[dry needl^*] OR TS=[warm needl^*] OR TS=[thread embed^*]) AND (PY=[2003-2022]). And it was analyzed by year, research field, academic journal, country, research institute, author, and keyword. Results 194 papers were searched, and 92 papers were finally selected. The number of papers published over the past 20 years has been on the rise. Research has been the most active in the field of Dentistry Oral Surgery Medicine. Brazil published the most papers. And by institution, Universidade de Sao Paulo published the most papers. Among the authors, Fernández-de-las-Peñas has published the most papers. In the analysis by keyword, the top five keywords were temporomandibular joint disorder, acupuncture, myofascial pain, pain and management. Conclusions This study will provide useful guidelines for setting the direction of research by referring to the research status and keyword analysis when conducting research on the acupuncture on temporomandibular disorder in the future.

• 한국정보과학회:학술대회논문집
• /
• 한국정보과학회 2010년도 한국컴퓨터종합학술대회논문집 Vol.37 No.1(C)
• /
• pp.385-389
• /
• 2010

논문에 부여되는 저자 주제어(author keyword)는 논문을 분류 및 검색하는데 활용될 수 있다. 이렇게 주제어를 부여할 때 자동으로 저자 주제어를 추천한다면 사용자에게 편리성을 제공하고 저자가 직접 부여한 저자 주제어 이외에 추가적으로 주제어가 있는지도 확인할 수 있어 유용하다. 본 연구에서는 논문에 달려있는 다수의 주제어 중 하나의 주제어를 선별하여 Labeled LDA를 이용해 주제어와 초록(abstract)의 관계를 학습했다. 이후 초록이 주어지면 자동으로 저자 주제어를 부여할 수 있도록 추천하는 기법을 제안하고 그에 따른 실험을 진행했다. 본 논문에서는 실험을 통하여 기계학습을 이용한 저자 주제어의 추천이 어느 정도의 성능을 보이는지 평가하고 향후 연구의 방향을 제시한다.

• 한국IT서비스학회지
• /
• 제17권2호
• /
• pp.143-163
• /
• 2018

The business models has a great impact on the successful management of enterprises. Business environment has been shifting from industrial economy to knowledge-based economy. Enterprises go through numerous trials for successful management in the changing environment. Along with trial tests, research areas have been growing simultaneously. Although many researches have been conducted with regard to business models, it is very insufficient to systematically analyze the knowledge flow of research. Accordingly, successive researchers who want to study the business model may find it difficult to establish the orientation of future application research based on understanding the process of changing the knowledge structure that have accumulated so far. This study is intended to determine the current state of the business model research and to understand the process of knowledge structure changes in keywords that appear in 2,667 business model articles in the SCOPUS database. Identifying the knowledge structure has been completed through social network analysis, a methodology based on the 'relationship', and the changes in the knowledge structure were identified by classifying them into four different periods. The analysis showed that, first, the number of business model co-author increases over time with the need for academic diversity. Second, the 'innovation' keyword has the biggest center in the network, and over time, the lower-rank keyword which was in the former period has emerged as the top-rank keyword. Third, the cohesiveness group decreased from 12 before 2000 to 5 in 2015 and also the modularity decreased as well. Finally, examining characteristics of study area through a cognitive map showed that the relationships between domains increased gradually over time. The study has provided a systematic basis for understanding the current state of the business model research and the process of changing knowledge structure. In addition, considering that no research has ever systematically analyzed the knowledge structure accumulated by individual researches, it is considered as a significant study.

• International Journal of Knowledge Content Development & Technology
• /
• 제2권2호
• /
• pp.17-29
• /
• 2012

All academic information on the web or elsewhere has its creator, that is, a subject who has created the information. The subject can be an individual, a group, or an institution, and can be a nation depending on the nature of the relevant information. Most information is composed of a title, an author, and contents. An essay which is under the academic information category has metadata including a title, an author, keyword, abstract, data about publication, place of publication, ISSN, and the like. A patent has metadata including the title, an applicant, an inventor, an attorney, IPC, number of application, and claims of the invention. Most web-based academic information services enable users to search the information by processing the meta-information. An important element is to search information by using the author field which corresponds to a personal name. This study suggests a method of efficient indexing and using the adjacent operation result ranking algorithm to which phrase search-based boosting elements are applied, and thus improving the accuracy of the search results of personal names. It also describes a method for providing the results of searching co-authors and related researchers in searching personal names. This method can be effectively applied to providing accurate and additional search results in the academic information services.