• Journal of the Korean Society for Library and Information Science
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• v.56 no.3
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• pp.241-264
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• 2022

Bibliographic metadata can help researchers effectively utilize essential publications that they need and grasp academic trends of their own fields. With the manual creation of the metadata costly and time-consuming. it is nontrivial to effectively automatize the metadata construction using rule-based methods due to the immoderate variety of the article forms and styles according to publishers and academic societies. Therefore, this study proposes a two-step extraction process based on rules and deep neural networks for generating bibliographic metadata of scientific articlles to overcome the difficulties above. The extraction target areas in articles were identified by using a deep neural network-based model, and then the details in the areas were analyzed and sub-divided into relevant metadata elements. IThe proposed model also includes a model for generating reference summary information, which is able to separate the end of the text and the starting point of a reference, and to extract individual references by essential rule set, and to identify all the bibliographic items in each reference by a deep neural network. In addition, in order to confirm the possibility of a model that generates the bibliographic information of academic papers without pre- and post-processing, we conducted an in-depth comparative experiment with various settings and configurations. As a result of the experiment, the method proposed in this paper showed higher performance.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.2
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• pp.143-159
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• 2013

A series of citation analyses are conducted to find out the characteristics of citation behavior in the field of military science and technology in Korea. The analyses are done against the references at the ends of articles in the Journal of the Korea Institute of Military Science and Technology published during the period 1998-2012. The sample includes 4,563 references from 537 articles. The analyses focused on types of materials, such as monographs, continuous materials, reports, etc., cited by the researchers by year. Lastly, the study aims to suggest the preferences of cited materials. The results of the analyses might provide a guide for a research library to establish an effective acquisition policy and a basis for tangible proof to secure continuous financial support from administration.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.1
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• pp.139-162
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• 2006

This study suggested a knowledge theory, theoretical framework and general principles in methodologies for library and information science by theoretically weighing domain analysis. The central concept to domain analysis are a subject knowledge constituting the domain and a discourse communities to share their knowledge. Therefore the study described a definition of domain and explained domain in ontological, epistemological, and sociological dimensions, proposed eleven approaches available in domain analysis. And the study argued the implications of domain analysis for library and information in position of socio-cognitive view and pragmatic realism.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.18 no.2
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• pp.89-105
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• 2007

The objective of this study lies in researching what kind of literature is mainly used by researchers in the related field by analyzing the research pattern of researchers who major in the same field of science. and to propose a list of literature that is indispensable for college libraries to prepare. Based on such analysis results of cited literature. this study is to propose necessary standards for selecting and reading journals in the field of Library and Information Science(LIS) in the libraries of Korean colleges where a LIS department is established.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.127-130
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• 2024

본 연구는 기존 포털형 정보 서비스의 한계를 극복하고자, 이전 연구에서 제안된 연구자의 R&D 프로세스 과정에서의 협업을 지원하는 개방형 협업 지원 서비스 플랫폼을 기반으로 하여, 본 연구에서는 R&D 프로세스 중 '사전 단계'에 대한 설계와 구현을 소개한다. 우리는 R&D 프로세스를 문헌 리뷰와 연구 가설 설정 등을 수행하는 '사전 단계,' 실험과 데이터 분석 등을 수행하는 '실행 단계', 논문 작성 및 출판 등을 수행하는 '성과화 단계'로 구분하고, 이 중 '사전 단계'에 대해 프로젝트 뷰, 그룹 뷰, 문헌 뷰, 관계 뷰를 설계하고 구현하였다. 연구자는 이 플랫폼을 통해 문헌 내용 및 문헌 간 복잡한 연관성을 신속하게 파악할 수 있으며, 플랫폼은 연구자에 의해 자연스럽게 생성되는 사용자 정의 관계를 통해 향후 심층적인 문헌 네트워크 구축 및 분석이 가능해질 것으로 기대한다.

• The Journal of the Korea Contents Association
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• v.19 no.11
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• pp.262-269
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• 2019

References at the end of an academic paper are information that helps authors keep their research ethics, readers refer to related prior studies. Also references are useful information for linking citations and citations between articles. As bibliography metrics develops, bibliographic data is used as an important data for assessing the academic influence of countries, institutions and individual researchers. However, it is not easy to identify and link the reference data due to the diversity of the bibliographic citation formats, the loss of information due to the abbreviation of journal names and author names, and typos by authors. This study investigated the method of improving the bibliographic data mapping rate by analyzing the unmapped cases. As a result, it was found that the main cause of the article-reference mapping failure was the similarity of abbreviated journal names. Research team suggested that continuous management of journal title authority data and improving the DOI registration rate as ways to improve the identification and mapping rate. This study is differentiated from other studies in used database. Bibliography mapping was attempted for domestic and foreign integrated journal database that is mainly subscribed, used, published and cited in Korea. Through reference construction volume and mapping rate improvement, it can be used as citation analysis and service database reflecting domestic situation that is different from overseas citation index database.

• Journal of the Korean Society for information Management
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• v.30 no.4
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• pp.7-29
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• 2013

As interdisciplinary research has been dominant in various fields, the purpose of this study is to analyze the relationship between interdisciplinarity and research impact in the field of Library and Information Science. For a data set, ten journals ranked as the top of 2011 JCR's in terms of JIF (Journal Impact Factor) were selected. The citation data of 1,873 articles from the ten journals were collected from the WoS during the period from 2006 to 2010. In order to achieve the purpose of this study, as network analysis was conducted to investigate the interdisciplinarity of LIS field, interdisciplinarity indicators, and research impact factors were statistically analyzed. The findings of this study confirmed the interdisciplinary knowledge structure of the LIS field as previous studies identified. More importantly, this study demonstrated that a positive correlation existed between interdisciplinarity represented as betweenness centrality and research impact.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.1
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• pp.209-230
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• 2021

This study aims at analyzing research trends of library management and suggesting future tasks of this area in Korea. This is a study following the previous study which was done in 2014. For this purpose, this study analyzed 323 papers of library management area among the library and information science papers which have been published from 2014 to 2020 at the four academic journals of the National Research Foundation of Korea. As a result, it was found that 46 papers in library management had been produced annually. The amount of papers in library management has increased, compared to 36 papers annually published which were checked at the previous study. The analysis on the research trends of sub-fields of library management showed that high research performance has been done at the sub-fields like 'general management', 'human resource management', 'measurement and evaluation'. However, there has still been less performance in the sub-fields like 'marketing', 'organization management', 'budget management', which was also shown at the previous study.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.614-627
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• 2022

The purpose of this study was to explore the various data and methods employed by HR analytics studies. The researchers selected 78 KCI-indexed empirical articles on HR analytics and categorized them using the Employee Life Cycle framework. This yielded several important findings. First, employee retention has been the most common subject of extant studies, followed by performance management. Second, HR analytics studies have used a variety of data (structured and unstructured) according to their research questions, and the data sources have ranged from organizations' internal systems to national databases. Third, most domestic HR analytics studies have been descriptive and diagnostic, whereas predictive and prescriptive studies have been rare. These results have important theoretical and practical implications for future HR analytics research.

• Journal of Information Management
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• v.33 no.1
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• pp.18-30
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• 2002

This study is to propose the model of Digital Document Information Center at KISTI which is a representative center of science, technology and industry information in Korea. The model proposed at this study is reflected current information environment such as digitalization, Internet and various internal and external situations. Also, the study is proposed the medium and long range plans for the center.