• Journal of Korean Library and Information Science Society
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• v.45 no.4
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• pp.207-229
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• 2014

The purpose of this study is to investigate the problems concerning the arrangement of 390 military science schedules in the sixth edition of KDC and to propose improvements of that problems. In this study, the theoretical knowledge background of military science is examined first. Then, the development of 390 military science schedules from first edition to the sixth edition of KDC were examined. And the expansion aspects and their problems of 390 military science of the sixth edition of KDC were analyzed and suggestions to solve that problems were proposed.

• Journal of Korean Library and Information Science Society
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• v.40 no.4
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• pp.401-425
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• 2009

This study is intended to present methods improving the classification system of KDC architecture engineering fields after comparing and analyzing the academic system of architecture engineering, classification system of KDC, DDC, and LCC, and that of the research field classification system of National Research Foundation of Korea. The results of the analysis have revealed that it is required to improve and correct the KDC 5th edition of architectural engineering including the addition of classification items that reflect the trend of academic development, proper development in the rank classification terms of architectural structure engineering, addition of detailed subjects, selection of proper classification terms, errors of classification symbols and English expression, and omission of correlative indexes in the classification items. This study has proposed improved methods to solve those problems.

• Journal of the Korean Society for information Management
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• v.20 no.1
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• pp.457-488
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• 2003

Public records, produced during the period of Government-General of Chosun. are essential sources for Korean modern history research. The purpose of this study is to provide a guideline for developing function-based classification scheme for the records. This present paper begins with analyzing archival principles regarding the function-based classification. and examines the problems of current arrangement practices. Based on these analyses, it suggests a guideline for constructing a classification system and a functional thesaurus for the public records of Government-General of Chosun. This guideline also covers functional analysis process and some considerations of different classification aspects which are conceptual, verbal and notational.

• Journal of the Korean Society for Library and Information Science
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• v.46 no.3
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• pp.57-78
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• 2012

Of the collection of public libraries in Korea, the literature collection is the largest, and Korean fictions, about 14% of the entire collection constitute the largest single subject. However, in the Korean Decimal Classification(KDC) Korean fiction is represented in one section, that is, 813 which corresponds to the only one of thousand divisions. More specifically, only two sub-sections, 813.6 and 813.7 are supposed to be assigned to the huge collection of modern Korean fiction, and, in reality, only 813.6 is being used in most libraries. Even with the use of book numbers, such disproportionate allocation of classification numbers would definitely lower the discriminative capacity of call numbers given to each item. It would also bring about difficulties in both shelving, on the libraries' side, and finding items from shelf, on the users' side. This study aims to examine the issues related to classifying Korean fictions in public libraries, including the composition of KDC schedules and the actual practice of classification, and then proposes the measures for improving the classification of Korean fictions.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.82-85
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• 2008

고객의 기호와 요구에 부응하는 서비스의 제공을 위해 영화 요소 중 정확한 장르의 분류는 고객의 선택에 있어 중요한 문제이다. 기존의 수작업에 의한 장르 분류는 시간과 비용, 신뢰성 등에서 비효율적이다. 이러한 문제의 해결을 위해 영화 시놉시스(Synopsis) 기반의 기계학습 방법은 효율적인 대안이 될 수 있다. 본 논문에서는 대다수 영화서비스 주체가 보유하고 있는 시놉시스 정보를 기반으로 하여 기계학습을 이용한 영화장르 분류에 관한 하나의 정형화된 방법을 제시한다. 기계학습 Algorithm 중 LibSVM, RandomComittee, LMT, NaiveBayes, PART Algorithm 을 이용하여 Algorithm 별, 장르별 분류 정확도를 측정하여 비교한다.

• Journal of Korean Library and Information Science Society
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• v.41 no.4
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• pp.5-33
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• 2010

This study is intended to present methods improving the classification system of KDC education fields after comparing and analyzing the academic system of education, classification system of KDC, NDC, DDC and LCC, and that of the research field classification system of National Research Foundation of Korea. The results of the analysis have revealed that it is required to improve and correct the KDC 5th edition of education including the addition of classification items that reflect the trend of academic development, proper development in the rank classification terms of education detailed fields, addition of detailed subjects, errors of classification symbols and omission of correlative indexes in the classification items. This study has proposed improved methods to solve those problems.

• 기호학연구
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• no.56
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• pp.7-44
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• 2018

The objective of this paper is to propose a classification of Korean taste terms, especially Korean taste adjectives, from the perspective of cognitive science. The classification of Korean taste terms is here grounded in the definition of 'taste sense', 'flavor' and 'taste' which is usually employed in disciplines of cognitive science. There have been a large number of domestic researches in field of taste terms. Accordingly, a lot of research findings on the classification of taste terms have steadily been released showing the differences among researchers. These different classifications are largely based on the fact that researchers have applied their subjective criteria rather than their objective in order to categorize taste terms. According to previous studies, it is well-known that, in everyday usage, the term 'taste' covers a much wider range of qualities than those perceived through the taste receptor cells alone. In addition, we take it for granted that as much as 80~90% of taste comes from olfactory modality. It is also important to note that the texture and temperature of food, the color of food, the sounds of food, and atmospheric cues have an essential effect on taste perception. Many scientists have already pointed out that taste evaluations are influenced by a number of individual and sociocultural factors. Eating and tasting are important parts of our everyday life, so that linguistic approaches to taste perception seem to be of great significance. We can assume that a classification of taste terms from the perspective of cognitive sciences may shed light on the perceptive mechanism through which we perceive taste. It should be noted that this paper is an advanced work prepared for the follow-up study which will try to make a geometric model of word field 'taste terms' existing or probably existing in the mental lexicon of human beings.

• Proceedings of the Korea Contents Association Conference
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• 2010.05a
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• pp.494-496
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• 2010

영화의 리듬은 최종적으로 편집 테이블 위에서 이루어지며 편집 시에는 주요하게 형식상으로 리듬을 처리한다. 형식상 영화 리듬은 내적 리듬과 외적 리듬으로 분류하며 따라서 이 글에서는 주로 영화 내적 리듬과 외적 리듬을 분석하는 각도에서 영화 리듬을 연구하고자 한다.

• Journal of KIISE
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• v.42 no.4
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• pp.512-521
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• 2015

Internet users purchase goods on the Internet and express their positive or negative emotions of the goods in product reviews. Analysis of the product reviews become critical data to both potential consumers and to the decision making of enterprises. Therefore, the importance of opinion mining techniques which derive opinions by analyzing meaningful data from large numbers of Internet reviews. Existing studies were mostly based on comments written in English, yet analysis in Korean has not actively been done. Unlike English, Korean has characteristics of complex adjectives and suffixes. Existing studies did not consider the characteristics of the Internet language. This study proposes an emotional classification method which increases the accuracy of emotional classification by analyzing the characteristics of the Internet language connoting feelings. We can classify positive and negative comments about products automatically using the Internet emoticon. Also we can check the validity of the proposed algorithm through the result of high precision, recall and coverage for the evaluation of this method.

• Journal of Korean Library and Information Science Society
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• v.32 no.1
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• pp.223-248
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• 2001

The purpose of this study is to analyze the problems of classified items by directly applying the domestic literary publications of agriculture field one by one and to present revision scheme having KDC as the subject of the study. In order to do this, I directly applied and analyzed KDC's 4th edition to the 5,400 literatures of agricultural field from the collection list database at the National Library of Korea. Revision scheme of KDC's agricultural field that's been made based on the above revision scheme tried to follow the basic classified systems and items of KDC's 4th edition, if possible, and in terns of necessary items, it includes only addition of cycles and the minimum subdivided extension.