• Journal of the Korean Society for Library and Information Science
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• v.47 no.1
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• pp.57-79
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• 2013

The aim of this study is to reveal the categorizational and classificatory features of the subject-based classification (SBC) as a subject organization system. For this purpose, 12 SBC schemes of public libraries were selected and a comparative analysis was made between the traditional classification system, such as DDC and SBC in terms of the categorizational aspects, and canons for the classification. As a result, there were significant and considerable differences between the two types of classifications. This study concluded that SBC cannot be clearly explained and understood without a consideration of its essential and distinctive characteristics as a classification scheme.

• Journal of the Korean Society for Library and Information Science
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• v.23
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• pp.207-261
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• 1992

The purpose of this study is (1) to design and test a database which can be automatically classified, and (2) to generate automatic classification number by processing the keywords in titles using the code combination method of Colon Classification(CC) as well as an automatic recognition of subjects in order to develop an automatic classification system (Auto BC System) based on CC which can be applied to any research library. To conduct this study, 1,510 words in the fields of agricultrue and medicine were selected, analized in terms of [P], [M], [E], [S], [T] employed in CC, and included in a database for classification. For the above-mentioned subject fields, the principle of an automatic classification was specified in order to generate automatic classification codes as well as to perform an automatic subject recognition of the titles included. Whenever necessary, editing, deleting, appending and reindexing of a database can be made in this automatic classification system. Appendix 1 shows the result of the automatic classification of books in the fields of agriculture and medicine. The results of the study are summarized below. 1. The classification number for the title of a book can be automatically generated by using the facet principles of Colon Classification. 2. The automatic subject recognition of a book is achieved by designing a database making use of a globe-principle, and by specifying the subject field for each word. 3. The automatic subject-recognition of input data is achieved by measuring the number of searched words by each subject field. 4. The combination of classification numbers is achieved by flowcharting of classification formular of each subject field. 5. The efficient control of classification numbers is achieved by designing control codes on the database for classification. 6. The automatic classification by means of Auto BC has been proved to be successful in the research library concentrating on a Single field. The general library may have some problem in employing this system. The automatic classification through Auto BC has the following advantages: 1. Speed of the classification process can be improve. 2. The revision or updating of classification schemes can be facilitated. 3. Multiple concepts can be expressed in a single classification code. 4. The consistency of classification can be achieved with the classification formular rather than the classifier's subjective judgement. 5. A user's retrieving process can be made after combining the classification numbers through keywords relating to the material to be searched. 6. The materials can be classified by a librarian without subject backgrounds. 7. The large body of materials can be quickly classified by means of a machine processing. 8. This automatic classification is expected to make a good contribution to design of the total system for library operations. 9. The information flow among libraries can be promoted owing to the use of the same program for the automatic classification.

• International Journal of Contents
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• v.12 no.3
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• pp.12-16
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• 2016

Brain computer interfaces (BCI) usually have focused on classifying the explicitly-expressed intentions of humans. In contrast, implicit intentions should be considered to develop more intelligent systems. However, classifying implicit intention is more difficult than explicit intentions, and the difficulty severely increases for subject independent classification. In this paper, we address the subject independent classification of implicit intention based on electroencephalography (EEG) signals. Among many machine learning models, we use the support vector machine (SVM) with radial basis kernel functions to classify the EEG signals. The Fisher scores are evaluated after extracting the gamma, beta, alpha and theta band powers of the EEG signals from thirty electrodes. Since a more discriminant feature has a larger Fisher score value, the band powers of the EEG signals are presented to SVM based on the Fisher score. By training the SVM with 1-out of-9 validation, the best classification accuracy is approximately 65% with gamma and theta components.

• Journal of the Korean Society for Library and Information Science
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• v.35 no.3
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• pp.17-34
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• 2001

It is very important to organize materials at intemet bookstores. It is time for us to develop a subject classification scheme as a tool for increasing the effectiveness of information retrieval with ease of subject access. The purpose of this study is to examine the subject features of internet bookstores in order to suggest the effective design of the subject scheme for them. Nine internet bookstore websites are analyzed at the aspect of the subject classification of the materials. Based upon the results of this study, an effective subject classification for internet bookstores is suggested to provide a better subject access.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.23 no.4
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• pp.5-24
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• 2012

The aim of this study is 1) to analyse the historical development and current condition of the subject based classification(SBC), 2) to clarify the function and to categorize the specific kind of SBC, for its conceptualization and the development plan. For this purpose, almost 30 cases, for the period 1937 through now, were analyzed concerning their terms used in the names and the specific kinds as SBC. In addition, the analysis was made regarding how the SBC fulfill the selected main functions as a classificatory scheme and how SBC is inter-related with the other knowledge organization systems(KOS) such as classification and subject heading. Based on the above analysis, the conclusion addressed that SBC could be defined in consideration of the detailed function, type, information environment, and interconnection among the KOS, and suggested the future development plan of SBC as a classification scheme.

• Journal of the Korean Society for information Management
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• v.28 no.1
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• pp.171-193
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• 2011

This study aims to analyse the necessity of the subject heading construction for the word based classification and to suggest a methodology that uses various knowledge organization systems(KOS). For this purpose, six kinds of KOS were collected for the 20 selected works in each subject. The collected subjects were analysed in terms of constructing a subject heading for the word based classification. The result of the analysis shows that there is a noticeable difference between the library oriented KOS and commercial oriented KOS. In addition, user oriented tags are more similar to the commercial sector's concerning subject categorization than the library oriented ones. However, there is no noticeable difference among the library oriented KOS, commercial sector oriented KOS, and user oriented tags regarding the subject vocabulary. Some practical implications were suggested for the application to the Korean libraries based on the findings of this study.

• The Journal of Korean Medical History
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• v.19 no.1
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• pp.65-76
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• 2006

The present study examined subject classification and the characteristics of old Oriental medicine literature focused on Web services of Oriental medicine knowledge and information resources. For this, we reviewed how subject classification is applied to Oriental medicine in the codified literature classification table and, based on the results, examined how the classification system is used in libraries. Second, subject classification and the characteristics of old Oriental medicine literature were studied focused on Web services of Oriental medicine knowledge and information resources, and related problems and solutions were suggested.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.2
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• pp.435-452
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• 2023

This study experimented with automatic classification of subject headings using BERT-based transfer learning model, and analyzed its performance. This study analyzed the classification performance according to the main class of KDC classification and the category type of subject headings. Six datasets were constructed from Korean national bibliographies based on the frequency of the assignments of subject headings, and titles were used as classification features. As a result, classification performance showed values of 0.6059 and 0.5626 on the micro F1 and macro F1 score, respectively, in the dataset (1,539,076 records) containing 3,506 subject headings. In addition, classification performance by the main class of KDC classification showed good performance in the class General works, Natural science, Technology and Language, and low performance in Religion and Arts. As for the performance by the category type of the subject headings, the categories of plant, legal name and product name showed high performance, whereas national treasure/treasure category showed low performance. In a large dataset, the ratio of subject headings that cannot be assigned increases, resulting in a decrease in final performance, and improvement is needed to increase classification performance for low-frequency subject headings.

• Communications for Statistical Applications and Methods
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• v.27 no.5
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• pp.569-578
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• 2020

Various graph clustering methods have been introduced to identify communities in social or biological networks. This paper studies the entropy-based and the Markov chain-based methods in clustering the undirected graph. We examine the performance of two clustering methods with conventional methods based on quality measures of clustering. For the real applications, we collect the mathematical subject classification (MSC) codes of research papers from published mathematical databases and construct the weighted code-to-document matrix for applying graph clustering methods. We pursue to group MSC codes into the same cluster if the corresponding MSC codes appear in many papers simultaneously. We compare the MSC clustering results based on the several assessment measures and conclude that the Markov chain-based method is suitable for clustering the MSC codes.

• Journal of the Korean Society for Library and Information Science
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• v.14
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• pp.3-18
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• 1987

The factors which can help the library users trace the specific subject that she or he needs are most important, when they are not sure of what they need exactly in front of a classified catalogue. This study is about what the factors are and how the factors affect the inference of users' reasoning structure. Since the classified catalogues are reflected by the classification structure, naturally the logic in the classification system becomes the focus of the study. This study concludes the classification system which enables the library users to use their reasoning capabilities, viz. the classification system which can help the users trace the specific subject even as they are not sure of the exact subject they need has following factors in the system. 1. It should have the validity based on the facts in the components of the classification system. 2. It should be logically arranged when the components of the classification system are placed in due sequence. 3. The notation of the system should be based on mnemonics. The reason is that the indispensable factors in the formation of inference of human reasoning structure are: 1. the premises which are based on the facts and 2. the logical relationship between the premises and conclusions which are induced from the premises.