• Journal of Information Management
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• v.35 no.1
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• pp.1-27
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• 2004

To share knowledge efficiently among our members on the basis of knowledge management system, first of all, we need to systematically design the knowledge classification scheme that we can classify these knowledge well. The objective of this study is to construct the most suitable knowledge classification scheme that all of us can share them in Korea Atomic Energy Research Institute (KAERI). To construct the knowledge classification scheme all over the our organization, we established a few principles to design it and examined related many classification schemes. And I carried out 3 steps to complete the best desirable KAERI's knowledge classification scheme, that is, (1) the step to design a draft of the knowledge classification scheme, (2) the step to revise a draft of the knowledge classification scheme, (3) the step to verify the revised scheme and to decide its scheme. The scheme completed as a results of this study is consisted of total 218 items : sections of 8 items, classes of 43 items and sub-classes of 167 items. I expect that the knowledge classification scheme designed as the results of this study can be played an important role as the frame to efficiently share knowledge among our members when we introduce knowledge management system in our organization. In addition, I expect that steps to design its scheme as well as this scheme itself can be applied when design a knowledge classification scheme at the other R&D institutes and enterprises.

• Annual Conference on Human and Language Technology
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• 2017.10a
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• pp.51-55
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• 2017

대규모 분류체계를 사용하는 경우, 기존 방법의 딥 러닝으로는 분류 정확도가 현저히 떨어진다. 이를 해결하기 위해 계층 구조를 활용한 네거티브 샘플링 방법을 제안한다. 학습 문서가 속한 카테고리의 상위 카테고리와 일정부분 겹치는 범위에서 네거티브 샘플을 선택하면, 하나의 큰 문제를 다수개의 하위 문제로 쪼개서 해결하는 학습 효과가 있다. 소규모 분류 체계와 대규모 분류체계 각각에서 샘플링 전략을 차용하였을 때를 비교한 결과, 대규모에서 효과가 좋았으며 그 때의 정확도가 150배 이상 차이가 나는 것을 보였다.

• Proceedings of the Korean Society for Information Management Conference
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• 2004.08a
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• pp.173-180
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• 2004

본 논문의 목적은 아동 도서를 취급하는 여러 형태 중 인터넷 서점에서 제공하는 다양한 도서 정보를 좀 더 효과적으로 제공하기 위해 현재 운영되고 있는 6개 인터넷 서점의 도서 분류 체계를 분석하였으며, 특히 여러 주제 영역 가운데 '아동 도서'를 중심으로 효과적인 분류 체계를 제시하고자 하였다. 국내 인터넷 서점 중 온.오프라인 인터넷 서점을 운영하는 교보문고, 영풍문고, 반디북닷컴과 온라인인터넷 서점만을 운영하는 예스24, 알라딘, 모닝365의 특징을 '아동 도서'의 주제 영역별로 분석하였다. 또한 분석한 내용을 중심으로 KDC와 연계하여 KDC의 10개 주제 영역별로 각 인터넷 서점의 주제항목을 비교 분석하였다. 이와 같이 선정된 6개 인터넷 서점의 '아동 도서'분류 기준에서 문제점들이 들어났고, 이를 고려한 효과적인 분류체계 안을 마련하는 것이 무엇보다 중요한 것으로 나타났다. 따라서 6개의 인터넷 서점 아동 도서 분류 체계 분석 결과와 함께 KBC를 아동 전문 도서관에 맞게 변형시킨 '느티나무 어린이 도서관 분류법' 특징을 고려한 효과적인 아동도서 분류 기준을 제시하였다.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.1
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• pp.419-448
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• 2013

This study is to describe the principles and outcome of the development for a classification scheme of presidential records to manage efficiently and provide them as archival information service productively. First, this scheme accommodates a management aspect, taking consideration into the aspect of archival records as the results of government administrative duties. Additionally, governance aspects are embraced into this scheme since presidential records can be seen as the results of governing purpose. We are considering the functional aspects of the public records too. As a result, this scheme adopts both management and governance aspect. Focusing on reflecting both functional and governance aspects, first analyzes existing classification systems in domestic and abroad. Finally, this study proposes 24 first-level, 114 second-level, and 179 third-level classification categories. Archivists and classification experts examined the classification scheme for verification by advisory meetings.

• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.59-64
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• 2022

한국표준질병사인분류(KCD)는 사람의 질병과 사망 원인을 유사성에 따라 체계적으로 유형화한 분류체계이다. KCD는 계층적 분류체계로 구성되어 있어 분류마다 연관성이 존재하지만, 일반적인 텍스트 분류 모델은 각각의 분류를 독립적으로 예측하기 때문에 계층적 정보를 반영하는 데 한계가 있다. 본 논문은 계층적 분류체계를 적용한 KCD 예측 모델을 제안한다. 제안 방법의 효과를 입증하기 위해 비교 실험을 진행한 결과 F1-score 기준 최대 0.5%p의 성능 향상을 확인할 수 있었다. 특히 비교 모델이 잘 예측하지 못했던 저빈도의 KCD에 대해서 제안 모델은 F1-score 기준 최대 1.1%p의 성능이 향상되었다.

• Korean Journal of Construction Engineering and Management
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• v.4 no.1 s.13
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• pp.97-105
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• 2003

Although Construction Failure Information has been reported in literatures, reports of research, and etc., it Is difficult to utilize the information because the information classification does not exist. Therefore, this study investigated and analyzed literatures of domestic and abroad research Institutions and suggested the Construction Failure Information Classification(CFIC). The CFIC is composed of four classified items; facility general information, failure situation information, failure cause Information, and failure counterplan information. Each item is divided sub-items. Through CFIC, Construction Failure Information can be standardized and utilized for useful data to prevent recurrences of construction failure.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.2
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• pp.9-17
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• 2011

For the exact status of the land such as land cover classification and land use classification, feature classification system has been utilized in several organizations and agencies. However, those classification systems are limited to detection of land change and it's also not suited for the extraction of land changed. In this study, we would proposed a standard feature classification system which presents both in natural and artificial change of land effectively. Based on comparison and analysis of domestic and foreign relevant feature classification system, we proposed a standard feature classification system. In order to validate the applicability of the proposed feature classification system, we evaluated the accuracy with using automatic feature classification based on supervised classification and pre-knowledge hierarchical classification.

• Proceedings of the Korean Society for Information Management Conference
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• 2000.08a
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• pp.135-138
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• 2000

인터넷 서점에서 사용자를 위한 정보자료의 효율적인 조직화는 매우 중요하다. 그러므로 주제 접근을 용이하게 하고 검색 효율성을 높이는 도구로서 분류체계에 대한 관심을 갖어야 할 시점이다. 본 연구에서는 국내외 인터넷 서점의 분류체계의 대분류 항목 및 접근 방법을 구조적 측면을 통해 조사하고 이에 대한 비교 분석을 통해 인터넷 서점에서 보다 효과적인 주제별 분류체계 구성방안에 관해 살펴보았다.

• Journal of Korean Library and Information Science Society
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• v.48 no.4
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• pp.375-399
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• 2017

This study aims to suggest a classification system for integrated management and shared use of disaster and safety information, which is currently produced and managed separately in disaster-related organizations. The study conducted a survey with organizations in charge of disaster management to analyze existing disaster-related classification systems and developed the first draft of the classification system. Later, in-depth interviews were conducted with disaster experts and a review was made by library and information science professors for the final touch. As a facet classification system consisting of 7 facets, it will be effective in supporting disaster management tasks as well as representing the complex nature of disaster and safety information.

• 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.