• Journal of the Korean Society for Library and Information Science
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• v.39 no.4
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• pp.261-279
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• 2005

This research suggests the standard reference needed for constructing the bibliographic descriptive national science citation index(KSCI). There are several types of analysis: the APA style, the MLA style, the Chicago Manual Style, and the Korean major periodical's style in Library and Information Science. The core elements are author, title, and issue. We propose the Author-Date system, and Note and Bibliography form. For citation of books only available online, the URL must be included as a part of the citation along with its record of most recent access, and retrieval.

• Journal of the Korean Society for information Management
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• v.32 no.1
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• pp.171-204
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• 2015

The objectives of this study are to examine changes in research on library marketing promotion from its introduction to the present using domestic journals carrying research papers on library marketing, to forecast research trends in the future, and to provide basic information for supporting future studies on subjects related to library marketing. There were a total of 3,951 papers published through the journals in the area of library and information science including 'The Journal of the Korean Society for Library and Information Science', 'The Journal of the Korea Biblia Society for Library and Information Science', 'The Journal of the Korean Library and Information Science Society', and 'The Journal of the Korean Society for Information Management' from their first issues to the present. These papers were searched using selected keywords, and after redundant papers and those not related to library marketing were excluded, 359 papers were sampled for this study and analyzed from different aspects. Findings derived from this study, with regard to trends in research paper publishing by year, with regard to trends in research paper publishing by institution, with regard to trends in research paper publishing by author, with regard to trends in research paper publishing by area, and with regard to trends in research paper publishing by library type.

• Journal of Korean Library and Information Science Society
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• v.50 no.2
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• pp.191-214
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• 2019

In order to understand the trends of collaborative research in the field of Library and Information Science (LIS) in Korea, this study analyzed bibliometric data and keywords of 5,383 Journal papers by 195 Korean LIS professors from 2000 to 2017 as well as the author credit allocation formulas of 26 Korean university research evaluation criteria. Examination of university research evaluation criteria revealed co-authors' credit level to be generally much lower than that of single authors, which in turn reduces the relative value of collaborative research. As a result, recent journals publish more co-authored papers than single author papers both domestically and internationally. The study also found collaborative research to be less prevalent in private universities than national universities and least prevalent in associate professors among professors. Furthermore, keyword analysis of study data revealed the emerging topics of both domestic and international collaborative research to be those that reflect social phenomena as well as those that relate to information science employing new technologies.

• Journal of the Korean Society for information Management
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• v.40 no.2
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• pp.115-135
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• 2023

The purpose of this study is to assess the effectiveness of using deep learning language models to extract references automatically and create a reference database for research reports in an efficient manner. Unlike academic journals, research reports present difficulties in automatically extracting references due to variations in formatting across institutions. In this study, we addressed this issue by introducing the task of separating references from non-reference phrases, in addition to the commonly used metadata extraction task for reference extraction. The study employed datasets that included various types of references, such as those from research reports of a particular institution, academic journals, and a combination of academic journal references and non-reference texts. Two deep learning language models, namely RoBERTa+CRF and ChatGPT, were compared to evaluate their performance in automatic extraction. They were used to extract metadata, categorize data types, and separate original text. The research findings showed that the deep learning language models were highly effective, achieving maximum F1-scores of 95.41% for metadata extraction and 98.91% for categorization of data types and separation of the original text. These results provide valuable insights into the use of deep learning language models and different types of datasets for constructing reference databases for research reports including both reference and non-reference texts.

• Journal of the Korean Society for Library and Information Science
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• v.35 no.1
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• pp.249-264
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• 2001

This paper describes the results of a cost-effectiveness analysis on the usage of foreign scientific and technical journals. In this study, the measure of cost-effectiveness chosen is the Cost Per Use(CPU) of a journal article. The photocopy usage data and annual subscription costs of journals subscribed by Korea Institute of Science & Technology Information were used. The results of this study illustrate that distribution of subscription cost and photocopy usage, Cost Per Use(CPU) of each journal, CPU of each subject field, etc. 80 percent of the demand for the journal was met by 40 percent of total subscription cost. A relationship was found between subscription cost and photocopy usage, however, no relationship was found between subscription cost and CPU.

• Journal of the Korean Society for information Management
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• v.20 no.3
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• pp.225-240
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• 2003

The purpose of this study is to investigate the usability and the value of Web resources as an academic information in writing a paper by citation analysis. In this study each articles from five academic journals in the field of LIS and computers, published from 1999 to 2000, was selected for citation analysis. The result shows that articles in Journal of the Korean Society for Information Management cited the most, and Korea Information Processing Society Review the least, in terms of average number of citing Web resources. In respect of citing rate of Web resources Communications of the Korea Information Science Society was high to 22% of all cited documents, and Journal of the Korean Society for Information Management was the second as high as 18.5%. Articles from selected journals have been increased in citing Web resources form 1999 to 2002. However, Korea Information Processing Society Review appears to be decreased, instead.

• Journal of Information Management
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• v.28 no.2
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• pp.20-53
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• 1997

To use SGML, which is international standard of markup language to construct fulltext database in digital libraries, the DTD is developed first. It is based on structure analysis of document. This study develops the SGML DTD for Korean document through document structure analysis of the Journal of the Korean Society for Information Management.

• Journal of the Korean Society for Library and Information Science
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• v.30 no.4
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• pp.13-38
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• 1996

This study focuses on investigating and analyzing overall information use behavior of the social science researchers. questionnaires were sent to 150 researchers in three major libraries or research institutes in the area of the social sciences, Five hypotheses were tested on the basis of the assumption that there would exist unique characteristics in the information seeking behavior of social science researchers The findings of the study shows that social science researchers prefer monographs and journals: they tend to use current material: the first information source for their research activities is the cited references in the book or journal article : they are likely to delegate literature searching to the librarian, but they tend to conduct direct searching in online setting: in general, they react positively for the rapid change in information environment caused by recent development of information technology, It is emphasized that to design an efficient information system and provide an effective information service in the social science related library or information center, it is essential to consider the major characteristics and attributes of social science researchers in terms of their information use behavior.

• Journal of the Korean Society for information Management
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• v.36 no.2
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• pp.57-77
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• 2019

Random Forest (RF), a representative ensemble technique, was applied to automatic classification of journal articles in the field of library and information science. Especially, I performed various experiments on the main factors such as tree number, feature selection, and learning set size in terms of classification performance that automatically assigns class labels to domestic journals. Through this, I explored ways to optimize the performance of random forests (RF) for imbalanced datasets in real environments. Consequently, for the automatic classification of domestic journal articles, Random Forest (RF) can be expected to have the best classification performance when using tree number interval 100~1000(C), small feature set (10%) based on chi-square statistic (CHI), and most learning sets (9-10 years).

• Journal of the Korean Society for information Management
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• v.22 no.2 s.56
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• pp.23-39
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• 2005

The purpose of this study was to analyzes the present conditions of reference databases which is constructed from Korea. The object which is used in analysis concludes on KSCI( Korean Science Citation Index) of KISTI, KCI(Korean Citation Index) of KRF, KoMCI(Korean Medical Citation Index) of Korean Academy of Medical Sciences, and reference database of KOSEF. And then, this paper proposes the activation plan for reference database construction based on this analysis result. The proposed plan will be able to apply with fundamental data of the system, policy and technical direction for reference database construction.