• 전기의세계
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• v.35 no.12
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• pp.811-812
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• 1986

• 전기의세계
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• v.35 no.8
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• pp.517-518
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• 1986

• 전기의세계
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• v.36 no.1
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• pp.42-43
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• 1987

• Proceedings of the Korean Society for Information Management Conference
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• 2002.08a
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• pp.115-121
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• 2002

인터넷과 웹 기술의 발전은 전자도서관의 목록정보나 목차정보서비스에서 원문정보서비스로의 변화를 주도하고 있다. 그러나 대학에서 생산하는 학문적 가치가 높은 학술지들은 웹을 통해 원문으로 서비스되고 있지만 상이한 OPAC 시스템과 목록을 위한 통일된 메타데이터의 부재로 원문정보를 공유$.$활용하기가 매우 힘든 실정이다. 본 고에서는 각 대학에서 생산하고 구축된 원문정보를 메타데이터 기반의 목록시스템을 이용하여 모든 대학의 학술지 논문정보를 검색하여 공유할 수 있는 분담목록시스템모형을 제시함으로써 대학 학술지 이용의 효율적 방안을 모색 해보고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04b
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• pp.25-27
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• 2001

컴퓨터와 통신 기술의 급소간 발전으로 이동 매체를 통한 정보 서비스 요구가 급증하고 있다. 이 중에서 이동 매체를 통한 전자 지도 서비스는 전송 정보의 용량이 크고 출력 장치의 resource를 많이 요구하기 때문에 이를 극복하기 위한 연구가 필요하다. 이 논문에서는 무선 지도 서비스 환경의 bandwidth 제약 조건과 resource 제약 조건을 새로이 정의하고 이를 해결하는 동적 약도 생성 기법을 소개한다. 본 논문은 resource 제약 조건을 해결하기 위해 지도 정확성의 기준을 완화하여 재 정의한 generalization 기법을 도입하며, bandwidth 제약 조건을 해결하기 위해 설정된 threshold 값을 만족하는 filtering 기법을 제안 및 설계 구현한다.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.3
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• pp.491-510
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• 2014

As a major factor for efficient management and retrieval of the articles in databases, keywords are classified into uncontrolled keywords and controlled keywords. Most of Korean scholarly databases fail to provide controlled vocabularies to indexing research articles which help users to retrieve relevant papers exhaustively. In this paper, we carried out automatic descriptor assignment experiments to Korean articles using automatic classifiers learned with descriptors in international database. The results of the experiments show that the classifier learning with descriptors in international database can potentially offer controlled vocabularies to Korean scholarly articles having English s. Also, we sought to improve the performance of automatic descriptor assignment using various classifiers and combination of them.

• Journal of Korean Library and Information Science Society
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• v.46 no.2
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• pp.367-392
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• 2015

In the library domain, the metadata concerning the journal and the articles published in the respective journal are the important attributes that can be used to search academic related information. In order to conduct this study, the American JATS standard and the XML DTDs of journal articles commonly used by well-known publishers were used. By comparing JATS standard to XML DTDs used by Elsevier and Springer, we were able to extract a total of 50 metadata elements(10 about the journals, 7 about the issues, 22 about the articles, and 11 about the authors). Additionally, we identified a total of 7 mandatory elements, 9 applicable mandatory elements, and 34 optional metadata elements. The implication of this study is that we selected metadata elements using XML DTDs that are used in the real world.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.269-276
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• 2019

The purpose of this study was to investigate the publication trends of children and adolescents' smoking-related researches published in Korean academic journals. Three hundred fifty papers published until 2018 were analyzed by focusing on the publication year, research participants, research themes and research methods. As a result, smoking-related research on children and adolescents increased sharply from 1995 to 2000, and the trend continued. The main research participants were general children and adolescents and the most frequently studied themes were 'Associated Factors,' 'Intervention,' 'Prevalence,' 'Prevention,' 'Characteristics,' 'Law and Policies,' 'Scales,' 'Review and Theories' respectively. The most frequently used research method was the quantitative method. Moreover, the most common data gathering method was using questionnaires, and the number of papers which used panel data was gradually increasing. Future studies were suggested to explore a broader range of themes, and a balanced research approach was also recommended using both qualitative and mixed methods.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.74-75
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• 2017

In this paper, we analyzed 3,668 papers of JKIICE from 2007 to 2016 using text mining methods for understanding research fields. We used web scraping programs of Python language for data collection, and utilized topic modeling methods based on LDA algorithm implemented by R language. In the results, we verified that representative research areas of JKIICE could be downsized to 9 areas only by the analysis though the submission areas were 19 areas by 2016.

• Journal of the Korean Society for information Management
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• v.37 no.1
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• pp.153-177
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• 2020

In the context of open science, data sharing and reuse are becoming important researchers' activities. Among the discussions about data sharing and reuse, data journals and data papers shows visible results. Data journals are published in many academic fields, and the number of papers is increasing. Unlike the data itself, data papers contain activities that cite and receive citations, thus creating their own intellectual structures. This study analyzed 14 data journals indexed by Web of Science, 6,086 data papers and 84,908 cited references to examine the intellectual structure of data journals and data papers in academic community. Along with the author's details, the co-citation analysis and bibliographic coupling analysis were visualized in network to identify the detailed subject areas. The results of the analysis show that the frequent authors, affiliated institutions, and countries are different from that of traditional journal papers. These results can be interpreted as mainly because the authors who can easily produce data publish data papers. In both co-citation and bibliographic analysis, analytical tools, databases, and genome composition were the main subtopic areas. The co-citation analysis resulted in nine clusters, with specific subject areas being water quality and climate. The bibliographic analysis consisted of a total of 27 components, and detailed subject areas such as ocean and atmosphere were identified in addition to water quality and climate. Notably, the subject areas of the social sciences have also emerged.