• Journal of the Korean Society for Library and Information Science
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• v.45 no.1
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• pp.29-49
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• 2011

Based upon its variety and specialties, Korean food has the potential power to become globalized, and a national public relations strategy for global competitiveness. In this process, a proper organization of information about Korean foods should be given a priority. The purposes of this study are to analyze the classification status and case studies of Korean foods in Korean libraries, to understand how much Korean foods are represented in the classification scheme and what should be improved, and to suggest a modified expansion of DDC 22. In so doing, an attempt is made to provide some evidences of the revision of DDC 22 as well as useful practices of modified DDC 22 in Korean libraries.

• Journal of the Korean Society for Library and Information Science
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• v.42 no.3
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• pp.259-279
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• 2008

The purpose of this study is to classify theological terms using facets and form foundation to build a theological thesaurus The terms was chosen in a English theological dictionary and the number of them are 1,031 but eventually, 984 terms were classified. The facets which classify the terms are 7 fundamentals and 14 sub-facets. Analysing the result of classification, abstract terms are much more than physical terms. They are 70% of the whole. Decimal classification to classify documents comes to dead end. therefore I think the research to classify terms of a specific subject as theology must be active. Furthermore, It is necessary to have knowledge about a specific subject to organize information in a specific subject.

• Journal of the Korean Society for information Management
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• v.34 no.4
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• pp.33-57
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• 2017

This study aims to introduce an emerging prescriptive analytics method and suggest its efficient application to a category-based service system. Prescriptive analytics method provides the whole process of analysis and available alternatives as well as the results of analysis. To simulate the process of optimization, large scale journal articles have been collected and categorized by classification scheme. In the process of applying the concept of prescriptive analytics to a real system, we have fused a dynamic automatic-categorization method for large scale documents and intellectual structure analysis method for scholarly subject fields. The test result shows that some optimized scenarios can be generated efficiently and utilized effectively for reorganizing the classification-based service system.

• Journal of Korean Library and Information Science Society
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• v.35 no.4
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• pp.171-191
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• 2004

This study presents revision scheme of Korean Decimal Classification appropriate for classification of children-related materials, mainly centered on social science(300) and pure science(400) occupying the majority of children-related materials in school Libraries. Towards this goal, 1 have studied the development and use of classification system for children-related materials available in domestic and overseas school libraries or children's libraries, and researched elementary school 4th, 5th, and 6th grade students' degree of understanding on classification item terms and children-related materials terms used for KDC's social science and Pure science. Based on the results of analysis, f have presented revision scheme of Korean Decimal Classification item terms and class numbers for children-related materials.

• Journal of Korean Library and Information Science Society
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• v.34 no.1
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• pp.287-311
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• 2003

This comparative study is on divisions of religion, subdivisions of religion, standard subdivisions, and divisions of Christianity in the KDC 4th ed., DDC 21h ed., & LCC 3th ed. It selects the subjects as \circled1 Christianity theology, \circled2 Jesus Christ, \circled3 The Bible, \circled4 Devotional literature & life, \circled5 Evangelism, education; pastoral theology, \circled6 Ecclesiastical theology, \circled7 Worship, sacrament, \circled8 Denominations which are the divisions of Christianity in KDC 4th ed. It wants to be devoted fer the development of the schedules for Christianity.

• Proceedings of the Korean Society for Information Management Conference
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• 2014.08a
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• pp.127-130
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• 2014

이 연구에서는 도서관의 주요 장서에 해당하는 단행본 도서에 대한 자동 분류를 적용가능한지 알아보고자 하였다. 분류자질로 메타데이터인 서명, 목차, 책 소개를 사용하였으며, 다양한 자질 가중치를 적용하여 581건의 단행본 도서를 통해 kNN 분류기의 분류성능을 파악하였다. 실험 결과 이들 메타데이터를 모두 사용하였을 때 가장 좋은 분류성능을 가져왔으며, 실험문헌집단의 규모가 작은 한계가 있지만 로그 TF를 취한 가중치 방법이 좋은 성능을 가져왔다.

• Journal of Korean Library and Information Science Society
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• v.31 no.4
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• pp.111-138
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• 2000

The lxnpose of this study is to pmvide the basic data for developing rational classification scheme of intemet resources in the fields of the information & telecommunications technology. The coverage of this study is, kt, to dehe the concept of informtion & telecommunications, and also to investigate the division of information & telecommunications technology through the literature, seumd, to analyze the using library classification schemes for internet resources, and thud, to review classi6cation system of the directory search engines. In this study, I w new

• Journal of the Korean Society for information Management
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• v.35 no.2
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• pp.63-88
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• 2018

This research evaluated differences of classification performance for feature selection methods using LDA topic model and Doc2Vec which is based on word embedding using deep learning, feature corpus sizes and classification algorithms. In addition to find the feature corpus with high performance of classification, an experiment was conducted using feature corpus was composed differently according to the location of the document and by adjusting the size of the feature corpus. Conclusionally, in the experiments using deep learning evaluate training frequency and specifically considered information for context inference. This study constructed biomedical document dataset, Disease-35083 which consisted biomedical scholarly documents provided by PMC and categorized by the disease category. Throughout the study this research verifies which type and size of feature corpus produces the highest performance and, also suggests some feature corpus which carry an extensibility to specific feature by displaying efficiency during the training time. Additionally, this research compares the differences between deep learning and existing method and suggests an appropriate method by classification environment.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.2
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• pp.295-312
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• 2019

This study was conducted with a view to investigating and analyzing classification and types of literature sources of Sikuquanshuzongmutiyao and the results of this study are as follows. First, the literature sources of Sikuquanshuzongmutiyao were classified mainly into five types including national version, provincial version, individual version, public official version, and societal distribution version. Second, court and Emperor's version was classified as national version, while literatures collected from state and province were classified as provincial version. Third, each of individual version and public official version, which were not clearly differentiated from each other due to their being named private version, were distinctively and separately classified. They were classified into individual version if associated by province name and book owners' names and into public official version if associated by public post names and public official's name. Fourth, societal distribution version included distributed and purchased versions in the society of those days. Fifth, in terms of the number of literature listed in all descriptions of Sikuquanshu, provincial version, national version, individual version, public official version, and societal distribution version were more found in the descending order. Sixth, it was found out that causes are being a little more stressed in the description of reference names of Sikuquanshuzongmutiyao through 1) public post names on public official version, 2) company names on private version, and 3) names of societal distribution version instead of sales version.

• Journal of the Korean Society for Library and Information Science
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• v.41 no.3
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• pp.127-144
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• 2007

The purpose of this study is to design the classification system for christian information resources on the internet in Korea. For this purpose, the study is investigated the divisions of Christianity of (1) library classifications: KDC, DDC, LCC, (2) portal sites: Daum, Empas, Naver, (3) Christianity Portal sites GodPeaple, Kidok, Godpia. And it compared the classification systems of KDC, DDC and GodPeaple. This study selected criteria as follows: comprehension, logicality, definiteness, efficiency and current topics. It suggested the classification system(draft) for christian information resources on internet which are composed of 10 classes.