• International Journal of Railway
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• 제2권1호
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• pp.37-42
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• 2009

Information management of products and services in every industries is gaining importance for resource planning and maintenance. In this paper, we analyzed the information classification systems for railway industry. International and domestic classification systems, such as HS, UNSPSC, eCl@ss and ISIC, are reviewed; as a result this paper presents the findings and the various issues. We proposed to-be images in adopting and utilizing the classification systems. Using the integrative information classification systems could make efficient electronic procurement, supply chain management and e-Business of railway services.

• 대한한의학원전학회지
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• 제36권3호
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• pp.89-128
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• 2023

Objectives : This study aims to diachronically examine the classification systems of all materia medica, followed by categorization and analysis of each category to deduce each category's characteristic. This will provide foundation for further examining classifications of bencao in contemporary herbology. Methods : Classification systems from a total of 93 bencao related texts were collected and categorized. Each category's classification system was analyzed to determine its meaning. The classification systems were compared from a diachronic perspective, to further deduce each system's problem from a historical context. Results : The classification systems of materia medica could be summarized as following three standards: quality, origin, and medical application. In reality, bencao could be generally classified according to origin and medical application. The origin-based classification system provided a stable and flexible classification outline in the expansion process of bencao. The medical application-based classification strengthened the relationship between bencao and illness pattern, improving clinical applicability. Conclusions : In the history of herbology, the two classification systems created the current of herbology through mutual contribution and conflict. We hope that further discussion on the direction towards which classification system of bencao in contemporary herbology should head will proceed based on this study.

• International Journal of Knowledge Content Development & Technology
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• 제2권1호
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• pp.51-65
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• 2012

While science and technology information service portals and heterogeneous databases produced in Korea and other countries are integrated, methods of connecting the unique classification systems applied to each database have been studied. Results of technologists' research, such as, journal articles, patent specifications, and research reports, are organically related to each other. In this case, if the most basic and meaningful classification systems are not connected, it is difficult to achieve interoperability of the information and thus not easy to implement meaningful science technology information services through information convergence. This study aims to address the aforementioned issue by analyzing mapping systems between classification systems in order to design a structure to connect a variety of classification systems used in the academic information database of the Korea Institute of Science and Technology Information, which provides science and technology information portal service. This study also aims to design a mapping system for the classification systems to be applied to actual science and technology information services and information management systems.

• 산업공학
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• 제18권1호
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• pp.10-21
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• 2005

With the increasing proliferation of World Wide Web, electronic mail systems have become very widely used communication tools. Researches on e-mail classification have been very important in that e-mail classification system is a major engine for e-mail response management systems which mine unstructured e-mail messages and automatically categorize them. In this research we compare the performance of Naive Bayesian learning and Centroid-Based Classification using the different data set of an on-line shopping mall and a credit card company. We analyze which method performs better under which conditions. We compared classification accuracy of them which depends on structure and size of train set and increasing numbers of class. The experimental results indicate that Naive Bayesian learning performs better, while Centroid-Based Classification is more robust in terms of classification accuracy.

• 한국문헌정보학회지
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• 제58권2호
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• pp.269-288
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• 2024

KOS 레지스트리를 구조화하기 위해서는 수집된 KOS의 특성에 맞는 분류체계를 선정해야 한다. 이 연구에서는 다양한 분류체계를 적용하여 수집된 국내 KOS 를 분류하고, 그 결과를 바탕으로 KOS 레지스트리의 구조화를 위한 분류체계를 선정할 때 고려해야 할 시사점을 제공하고자 했다. 웹탐색을 통해 수집된 313개의 KOS 데이터를 대상으로 총 5종의 분류체계와 시소러스를 적용하여 분류하고 그 결과를 분석했다. 분석 결과, KOS 레지스트리의 국제적 연계를 위해서는 국외 분류체계를 적용하고, 국내 지식자원과 연계하거나 국내 연구자들에게 최적화하기 위해서는 국내 분류체계를 적용할 필요가 있었다. 그리고 KOS의 분야별 특성에 따라 연구 분야 KOS는 학문 분야를 기반으로 하는 분류체계를 적용하고, 공공 분야 KOS는 정부 업무기능을 기반으로 하는 분류체계를 적용하는 것을 검토할 필요가 있었다. 마지막으로 국내 KOS와 국제 KOS와의 연계를 강화할 필요가 있었고, 이를 위해서 복수의 분류체계를 적용할 필요가 있었다.

• 동의생리병리학회지
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• 제30권6호
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• pp.376-384
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• 2016

Systems biology is an emerging field aiming at a systems level understanding of living organisms and focusing on the characteristics of the whole network of them. The emergence of systems biology is partly because of the availability of huge amounts of data on organisms and the extensive support of computational technologies as the tools for understanding complex biological systems. The scientific understanding of Korean medicine has been obstructed because of the lack of proper methods examining the complex nature and the unique property of it. However, systems biology could give a chance understanding Korean medicine objectively and scientifically. Pattern classification is a unique tool of Korean medicine to diagnose and treat patients and systems biology would give a useful tool to interpret pattern classification. Various omics technologies has been used to explain the relations between pattern classification and biological factors and then many characteristics of pattern classification in various diseases have been discovered. Therefore, pattern classification could be a bridge to understand the features and differences of western medicine and Korean medicine and it could be a basis to develop pattern-based personalized medicine.

• 지능정보연구
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• 제1권1호
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• pp.23-41
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• 1995

Business researchers have traditionally used statistical techniques for classification. In late 1980's, inductive learning started to be used for business classification. Recently, neural network began to be a, pp.ied for business classification. This study reviews the business classification studies, identifies a neural network a, pp.oach as the most powerful classification tool, and discusses the problems and issues in neural network a, pp.ications.

• 한국의류학회지
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• 제19권6호
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• pp.857-865
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• 1995

The main purposes of this study were to find out the new classification system of the clothing evaluative criteria(CEC), 3nd to clear up the relationshiops of new classification system and the existing classification systems. For this purpose, the existing literatures related with the CEC(the classification system, and the variables) were investigated. The results of the study were as follows: 1. The existing classification systems were 'the intrinsic. non-intrinsic classification', 'the level classification', 'the purchase process classification' The new classification system of the CEC is based on 'the view-point of subjets'. The system was divided into the point of clothing itself, the wearer, the other, the wearing situation. The wearer's point of view is divided into the point of the value, and the physical characteristics of wearer 2. The image was included as the concept of the CEC, and the image classification could be suggested. 3. The relationships of the classification systems were as follows: $\circled1$ The intrinsic. non-intrinsic classification system included the level classification, the view-point classification, the image classification, and the buying process classificstion. $\circled2$ The level classification, the view.point classification, and the image classification were linked mutually, but the buying process classification is seperated from these classifications.

• 한국문헌정보학회지
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• 제44권2호
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• pp.241-262
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• 2010

본 연구에서는 국내 주요 검색 포털들인 네이버, 네이트, 다음, 야후에서 제공하는 서비스들의 분류체계를 분류체계의 일관성, 분류체계의 논리성, 인터페이스의 일관성, 카테고리명의 명확성, 카테고리 및 사이트 배열 순서, 계층 구조 설계 등의 관점에서 비교, 분석하였다. 이러한 기준에 따라 조사한 결과, 동일한 포털에서 제공하는 서비스들이 공통점이 거의 없는 독자적인 분류체계를 구축, 운영하고 있는 것으로 나타났다. 따라서 향후 포털들의 통합 분류체계 구축과 인터페이스 표준화가 요구된다. 본 연구의 결과는 포털들의 분류체계의 개선에 활용될 수 있을 것으로 기대된다.

• Journal of Information Science Theory and Practice
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• 제10권spc호
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• pp.39-45
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• 2022

For national industrial development in the Fourth Industrial Revolution, it is necessary to provide researchers with appropriate job information. This can be achieved by interconnecting the National Science and Technology Standard Classification System used for management of research activity with the Korean Employment Classification of Occupations used for job information management. In the present study, an automatic linkage model of classification systems is introduced based on a pre-trained language model for interconnecting science and technology information with job information. We propose for the first time an automatic model for linkage of classification systems. Our model effectively maps similar classes between the National Science & Technology Standard Classification System and Korean Employment Classification of Occupations. Moreover, the model increases interconnection performance by considering hierarchical features of classification systems. Experimental results show that precision and recall of the proposed model are about 0.82 and 0.84, respectively.