• Journal of Yeungnam Medical Science
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• 제38권1호
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• pp.10-18
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• 2021

Endometriosis is a chronic disease associated with pelvic pain and infertility. Several classification systems for the severity of endometriosis have been proposed. Of these, the revised American Society for Reproductive Medicine classification is the most well-known. The ENZIAN classification was developed to classify deep infiltrating endometriosis and focused on the retroperitoneal structures. The endometriosis fertility index was developed to predict the fertility outcomes in patients who underwent surgery for endometriosis. Finally, the American Association of Gynecological Laparoscopists classification is currently being developed, for which 30 endometriosis experts are analyzing and researching data by assigning scores to categories considered important; however, it has not yet been fully validated and published. Currently, none of the classification systems are considered the gold standard. In this article, we review the classification systems, identify their pros and cons, and discuss what improvements need to be made to each system in the future.

• 동의생리병리학회지
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• 제18권2호
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• pp.359-370
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• 2004

Before the current western medicine was spreaded out in the world as the main stream, each country had treated diseases with the medicine of their own and the traditional medical books, which are so characteristic, are handed down. Considering the earnest assignment to do in Korean medical of this age and one of the tendencies of medical circles in the world is putting together the current medicine with the traditional medicine, the production and spread of the classification system for the technical books which is contained the characteristic of traditional chinese medicine, the present condition of modern chinese medicine, and the future of it, must be settled without delay. The classification system for oriental medicine section developed in the range of the simple system before the time of flowering, since then the western medicine had grew as the main current in medicine in Korea. But until now the rational and realistic classification system based on the changeable time isn't be established, so setting up one of the classification systems for medicine section, it is classified according to the principle of classification system for medicine section. Hereupon, the result was made after researching the changes of modern classification system for korean and studying on the changes of classification system for oriental medicine section of the Korean decimal classification.

• 한국도서관정보학회지
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• 제36권2호
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• pp.165-178
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• 2005

본 연구는 대학도서관의 단행본에 대한 분류검색 환경을 조사${\cdot}$분석함으로써, 그 실태를 파악하기 위한 것이다. 조사내용은 분류검색 제공여부, 접근방법, 검색수준 등에 중점을 두었다. 데이터 수집은 계통추출법에 의해 표집된 100개 도서관 중, 조사기간 동안 URL 연결이 가능한 97개 도서관을 대상으로 이루어졌다. 그 결과, 97개 도서관 중, $92.8\%$가 분류검색을 제공하고 있었으나, 이중 $52.2\%$가 분류기호만을 통해, $47.8\%$가 분류기호와 분류 디렉터리를 통해 접근이 가능한 것으로 나타났다. 따라서, 분류검색을 활성화하기 위해서는 분류기호만을 통해 접근이 가능한 도서관에 대한 검색환경 개선이 시급한 것으로 파악되었다.

• 한국문헌정보학회지
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• 제50권3호
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• pp.249-265
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• 2016

본 연구의 목적은 Cutter의 전개분류법 특징을 분석하는 것이다. 분류법 평가와 관련된 4가지 요소를 기준으로 전개분류법을 분석하였다. 연구 결과로 첫째, 주류 배열은 철학과 종교, 역사와 지리, 사회과학, 자연과학과 예술, 언어와 문학 순으로 배열되어 있어 그 순서가 논리적이며 진화적이다. 둘째, 기호법은 문자를 사용하는 순수기호법이며, 저자기호법을 포함시켰다. 셋째, 7개의 표로 구성되어 있으며, 제2표는 자연과학 분야가 전개되었고, 제3표부터는 전 주제 분야로 확산되었다. 넷째, 지역구분을 적용하였는데, 대륙별로 지역의 연결성을 강조하여 나열하였다.

• 한국도서관정보학회지
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• 제35권3호
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• pp.293-319
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• 2004

이 연구는 우리나라 최초의 관립도서관이며 국립중앙도서관의 전신인 조선총독부도서관에서 사용한 분류표에 관한 것이다. 조선총독부 도서관 분류표는 신서부, 고서부, 양서부의 세 개 분류표를 편찬하여 사용하였다. 이에 이 연구는 일제강점기 당시 관립도서관이었던 조선총독부도서관분류표의 특징에 대해 분석하였다. 또한 조선총독부 도서관 분류표와 관련 있는 분류표를 비교 분석하여 그 영향관계를 파악하였다.

• 대한공간정보학회지
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• 제19권2호
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• pp.9-17
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• 2011

국내 여러 기관에서 토지피복분류체계, 토지이용현황분류체계 등 국토의 정확한 현황 파악을 위해 다양한 지형분류체계를 활용 중에 있다. 그러나 이러한 분류체계로 국토변화를 탐지하기에는 적용성이 떨어지며, 변화지역을 추출하기에도 적합하지 않다는 문제점을 가지고 있다. 본 연구에서는 국토에 대한 자연적, 인위적 변화요소들을 모두 효과적으로 나타낼 수 있는 표준 지형분류체계를 제안하고자 한다. 이를 위해 국내외 유사 지형분류체계에 대한 비교 분석을 수행하고, 이를 바탕으로 표준 지형분류 항목을 제안하였다. 자동 지형분류 적용 가능성을 평가하기 위하여 감독분류 기반의 자동 지형분류와 선행지식 기반의 자동 지형분류를 수행하여 정확도를 평가하였다.

• 한국멀티미디어학회논문지
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• 제21권12호
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• pp.1417-1424
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• 2018

In order to improve the performance of image classifications using Convolutional Neural Networks (CNN), applying a category hierarchy to the classification can be a useful idea. However, the visual separation of object categories is very different according to the upper and lower category levels and highly uneven in image classifications. Therefore, it is doubtable whether the use of category hierarchies for classification is effective in CNN. In this paper, we have clarified whether the image classification using category hierarchies improves classification performance, and found at which level of hierarchy classification is more effective. For experiments we divided the image classification task according to the upper and lower category levels and assigned image data to each CNN model. We identified and compared the results of three classification models and analyzed them. Through the experiments, we could confirm that classification effectiveness was not improved by reduction of number of categories in a classification model. And we found that only with the re-training method in the last network layer, the performance of lower category classification was not improved although that of higher category classification was improved.

• 한국도서관정보학회지
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• 제18권
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• pp.139-192
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• 1991

Though the computer has become deeply entrenched as the major tool in information processing(library works), it may be obvious that automatic book classification techniques ate still under experimentation, and the techniques have not yet been tested against the criterion of usefulness. The purpose of this study is to design of knowledge base for automatic book classification which can be put to use in library operation, and to present a methodology of application of the automatic classification into the library. Since the enumerative classification schemes which are existing are manual systems, it cannot be applied to the automatic classification, the principle of faceted classification based on concept analysis is brought in and studied. The result of this study are summarized as follows : 1. The design of knowledge base confined the field of agriculture and medicine. 2. If title is entered by the computer keyboard it will be searched in knowledge base, and then be classified by the principle of automatic classification. 3. Program flowcharts are designed as a bases of classification procedures for automatic subject recognition and classification. 4. 283 books in agriculture, 196 books in medicine were drawn at random from Taegu University Library and Young-Nal Medical Center Library respectively. 5. The experiment of automatic classification is performed 143 books in agriculture 166 books in medicine except for other subject books. 6. It was proved that automatic book classification is possible by design of knowledge base. In addition the expected values from design of knowledge base for automatic book classification are as follows : 1. The prompt and accurate process of classification is possible. 2. Though some title is classified in any library, it can be classified the some classification number by a program. 3. The user can retrieve the classification codes of books for which he or she wants to search through the computer. 4. Since the concept coordination method is employed the representing of a multisubject concept is make simple. 5. By performing automatic book classification the automation of total system can be achieved. 6. The efficient international information transfer will be advanced since all the institution maintain unified classification number.

• International Journal of Knowledge Content Development & Technology
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• 제7권2호
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• pp.85-105
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• 2017

Given the variety of approaches to mapping the universe of knowledge that have been presented and discussed in the literature, the purpose of this paper is to systematize their main principles and their applications in the major general modern library classification schemes. We conducted an analysis of the literature on classification and the main classification systems, namely Dewey/Universal Decimal Classification, Cutter's Expansive Classification, Subject Classification of J.D. Brown, Colon Classification, Library of Congress Classification, Bibliographic Classification, Rider's International Classification, Bibliothecal Bibliographic Klassification (BBK), and Broad System of Ordering (BSO). We conclude that the arrangement of the main classes can be done following four principles that are not mutually exclusive: ideological principle, social purpose principle, scientific order, and division by discipline. The paper provides examples and analysis of each system. We also conclude that as knowledge is ever-changing, classifications also change and present a different structure of knowledge depending upon the society and time of their design.

• 한국문헌정보학회지
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• 제23권
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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.