• Korean Journal of Organic Agriculture
• /
• v.20 no.2
• /
• pp.109-124
• /
• 2012

The purpose of this paper is to suggest policy implications on the R&D planning scope to acquire highly technology quality level and to show the necessity of differentiated strategy by each technology fields in organic agriculture field. To achieve this, we analyzed the determinants of excellent R&D performance using the patent bibliography information analysis based on the count data models. Through empirical analysis, we find out that the determinants are different from each technology field, and show that these determinants should be included in the scope of R&D planning.

• Journal of the Korea Society of Computer and Information
• /
• v.21 no.11
• /
• pp.85-91
• /
• 2016

This paper proposes a collective approach to cited text recognition by exploiting a set of citing text from different articles citing the same article. First, the proposed method gathers highly-ranked cited sentences from the cited article using a group of citing text to create a collective information of probable cited sentences. Then, such collective information is used to determine final cited sentences among highly-ranked sentences from similarity-based cited text recognition. Experiments have been conducted on the data set which consists of research articles from a computational linguistics domain. Evaluation results showed that the proposed method could improve the performance of similarity-based baseline approaches.

• Journal of Information Science Theory and Practice
• /
• v.8 no.3
• /
• pp.15-29
• /
• 2020

This study aims to describe the general patterns of Korean research in Arts and Kinesiology, particularly from the perspective of authorship. Among the 12 sub-areas of Arts and Kinesiology indexed in the Korean Citation Index (KCI), journals in three sub-areas, "Arts," "Design," and "Kinesiology" have the longest publishing histories and produced the largest volume of articles. 68 journals in the "Arts," "Design," and "Kinesiology" sub-areas were accredited in the KCI between 2001 and 2019; 40,955 articles which were published in the journals between the years of accreditation and the end of 2019 serve as the context of this article. Authorship, affiliated institutions and countries, openness to new authors, top researchers, topological properties of authorship networks, overall research performance by authors, and co-authorship patterns were analyzed and compared among three sub-subjects.

• Proceedings of the Korean Society for Information Management Conference
• /
• 2013.08a
• /
• pp.55-58
• /
• 2013

본 연구는 우리나라의 연구 성과를 양적 측면과 질적 측면에 대해 계량정보학적으로 분석하는 것을 그 목적으로 하였다. 이를 위하여 2013년 7월 22일 Web of Science SCIE(Science Citation Index Expanded)에 색인된 우리나라와 일본, 중국, 인도, 호주 논문을 분석하였다. 분석 결과는 다음과 같다. 첫째, 우리나라의 SCIE급 논문의 생산성은 연평균 약 18.1%로 매우 가파른 성장세를 보였다. 둘째, 2013년 현재 2007년에 발표된 우리나라의 논문은 인용절정기를 지나 단 한 차례도 인용 받지 않은 논문의 비율이 가장 낮게 나타났으며 2007년 이후 출판된 논문들은 그 비율이 점차 증가하는 것으로 나타났다. 셋째, "h-지수" 안에 포함된 논문의 경우는 인용절정기를 지나더라도 지속적으로 인용을 받음으로 인해 출판 후 약 10년에 걸쳐 "h-지수"가 증가할 수 있음을 밝혀냈다. 넷째, 우리나라는 중국, 인도와 함께 양적 성과에 비해 질적 성과는 아직 미흡한 것으로 나타났다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.1
• /
• pp.153-172
• /
• 2022

In this study, the authors intend to analyze factors contributing to research performance using Backpropagation Neural Network and Support Vector Machine. The analyzing factors contributing to lecturer research performance start from defining the features. The next stage is to collect datasets based on defining features. Then transform the raw dataset into data ready to be processed. After the data is transformed, the next stage is the selection of features. Before the selection of features, the target feature is determined, namely research performance. The selection of features consists of Chi-Square selection (U), and Pearson correlation coefficient (CM). The selection of features produces eight factors contributing to lecturer research performance are Scientific Papers (U: 154.38, CM: 0.79), Number of Citation (U: 95.86, CM: 0.70), Conference (U: 68.67, CM: 0.57), Grade (U: 10.13, CM: 0.29), Grant (U: 35.40, CM: 0.36), IPR (U: 19.81, CM: 0.27), Qualification (U: 2.57, CM: 0.26), and Grant Awardee (U: 2.66, CM: 0.26). To analyze the factors, two data mining classifiers were involved, Backpropagation Neural Networks (BPNN) and Support Vector Machine (SVM). Evaluation of the data mining classifier with an accuracy score for BPNN of 95 percent, and SVM of 92 percent. The essence of this analysis is not to find the highest accuracy score, but rather whether the factors can pass the test phase with the expected results. The findings of this study reveal the factors that have a significant impact on research performance and vice versa.

• Journal of the Korean Society for information Management
• /
• v.33 no.4
• /
• pp.175-199
• /
• 2016

We analyzed the relationships between the co-authorship network centralities and the research performance indicators with the authors and the number of citations of the papers published for 10 years in Korean library and information science journals. In particular, the research performance indicators were calculated with normal counting and with fractional counting also. As a result of correlation analysis between the variables by setting the different ranges of the author groups to be analyzed according to the number of articles, it was possible to explain the inconsistent results of the previous studies on the correlations between the researchers' citation indicators and their co-authorship network centralities. Overall, the degree of co-authorship activities measured by collaboration coefficient showed no or negatively correlated with research performance. There were statistically significant positive correlations between the centralities and the research performance indicators, but the correlation was not significant in the analysis of the top 30 authors by number of articles.

• Journal of Internet Computing and Services
• /
• v.17 no.5
• /
• pp.75-87
• /
• 2016

With the exploration of digital academic information, it is certainly required to develop more effective academic contents recommender system in order to accommodate increasing needs for accessing more personalized academic contents. Considering historical usage data, the academic content recommender system recommends personalized academic contents which corresponds with each user's preference. So, the academic content recommender system effectively increases not only the accessibility but also usability of digital academic contents. In this paper, we propose the new journal recommendation technique based on information of journal subscription and web usage logs in order to properly recommend more personalized academic contents. Our proposed recommendation method predicts user's preference with the institution similarity, the journal similarity and journal importance based on citation relationship data of references and finally compose institute-oriented recommendations. Also, we develop a recommender system prototype. Our developed recommender system efficiently collects usage logs from distributed web sites and processes collected data which are proper to be used in proposed recommender technique. We conduct compare performance analysis between existing recommender techniques. Through the performance analysis, we know that our proposed technique is superior to existing recommender methods.

• Therapeutic Science for Rehabilitation
• /
• v.12 no.4
• /
• pp.39-51
• /
• 2023

Objective : This study seeks to unveil the intellectual framework of research surrounding children's occupations by utilizing social network analysis of keywords from studies focused on childhood. Methods : From August 2003 to August 2023, we analyzed 3,364 keywords extracted from 270 research articles in the Korean Citation Index with the keyword "Child and Occupation" using the NetMiner program. Results : Research on children's work has increased quantitatively over the past decade. Keywords exhibiting a high degree of centrality in the realm of child occupation research included Task (0.055), Group therapy (0.040), Working memory (0.037), Intervention (0.033), Performance (0.030), Language (0.026), Ability (0.026), Skill (0.024), and Program (0.023). Notably, the weighted terms in the Word Network included Evaluation-Tool (30), School-Student (15), and Activity-Participation (15). The primary keywords from each topic in topic modeling were Activity (0.295), Disability (0.604), Education (0.356), Skill (0.478), School (0.317), Function (0.462), Disorder (0.324), Language (0.310), Comprehension (0.412), and Training (0.511). Conclusion : This study describes the trends in the domestic field of pediatric occupational research. These efforts provided valuable insights into pediatric occupational therapy in South Korea.

• Journal of the Korean Society for information Management
• /
• v.33 no.3
• /
• pp.7-29
• /
• 2016

The h-index is a popular bibliometric indicator for evaluating individual researchers. However, it has been criticized for its inconsistency with reflecting increased number of citations and disregarding the number of co-authors in a paper. In order to overcome these problems, we examined the g-index and other Hirsch-type indices considering the number of co-authors. Test data collection was extracted from Korean Citation Index database published from 2004 to 2013. The results of this study are as follows: First, g-index is more reliable indicator than h-index with consistency. Second, number of co-authors must be considered to maintain the h-index as an complex indicator applying the quality and the quantity of research performance. Finally, hc-index and gc-index, with fractionalised counting of the papers, can fairly measure the research performance of humanities researchers, and successfully prevent specific disciplines or institutions occupying majority of top rankings.

• Journal of Global Scholars of Marketing Science
• /
• v.14
• /
• pp.171-191
• /
• 2004

In order to successfully develop papers and have them published in notable academic journals, researchers need to be fully informed and prepared regarding the challenges publication of papers present. This study focuses on approaches for improving likelihood of publication. It first examines the development process of papers and then addresses the importance of successful revisions after the review process. It then identifies several factors which can influence the performance of papers. Finally, it concludes by offering several implications for developing papers as well as suggestions for future research.