• Annual Conference on Human and Language Technology
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• 1999.10e
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• pp.389-396
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• 1999

본 연구에서는 이미 만들어진 양국어 단일 언어 어휘 분류체계를 이용하여 양국어 어휘 분류등급 간의 개념유사도에 의한 양국어 분류체계간의 연관 관계를 구축하고자 한다. 중국어 유의어사전과 한국어 분류어휘표를 이용하여 양국어 어휘 분류체계에서의 분류등급 간의 개념유사성 및 양국어간의 어휘 유사성에 의하여 어휘분류망을 자동 구축한다. 자동 구축된 어휘분류망을 통하여 한국어 분류어휘표의 어휘 구성 및 분류체계에 대한 분석 평가를 진행할 것이며 나아가 한국어 분류어휘표에 대한 어휘 및 분류체계에 대한 보완을 시도하고자 한다. 본 연구는 한국어 자체 어휘 분류체계의 구축 방법론의 연구에도 어느 정도 도움될 것으로 기대한다.

• Journal of the Korean Society for information Management
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• v.17 no.2
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• pp.37-66
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• 2000

This study attempts to reorganize the knowledge classification system for the research fields and majors in education by designing a new classification schedule. Content analysis of the majors and curriculums in the universities and major areas of the academic professors in Korea, and the comparison with the various headings in several classification systems for research fields were carried out. Based upon the comparison with library classification systems and reviews and opinions of subject specialists in major disciplines, finally, a knowledge classification system composed of three parts - schedules, tables and a relative index - was presented. The proposed classification scheme was tested for classifying the research projects listed in the 1998 catalog of the academic research funded by Korea Research Foundation. Also, several ways for developing a more useful knowledge classification scheme to organize disciplinary information effectively and to encourage interdisciplinary research were suggested.

• Journal of Korean Society for Geospatial Information Science
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• v.8 no.2 s.16
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• pp.23-33
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• 2000

On this study, Among the classification methods of land cover using satellite imagery, we compared the classification accuracy of Neural Network Classifier and that of Maximum Likelihood Classifier which has the characteristics of parametric and non-parametric classification method. In the assessment of classification accuracy, we analyzed the classification accuracy about testing area as well as training area that many analysts use generally when assess the classification accuracy. As a result, Neural Network Classifier is superior to Maximum Likelihood Classifier as much as 3% in the classification of training data. When ground reference data is used, we could get poor result from both of classification methods, but we could reach conclusion that the classification result of Neural Network Classifier is superior to the classification result of Maximum Likelihood Classifier as much as 10%.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.10a
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• pp.423-426
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• 2004

인트라넷에서는 증가하는 웹문서의 검색을 목적으로 웹 검색엔진의 도입이 활발히 진행 중이며 대부분 찾아야할 키워드를 알고 접근하는 검색엔진 형태이다. 그러나 사용자가 무엇을 찾아야 하는지 모르는 경우 웹문서 분류체계는 효율적인 방법을 제시할 수 있다. 일부 구축되어 있는 분류체계는 수작업에 의한 분류로 인해 증가하는 웹문서의 양에 효율적으로 대처하기 곤란하므로 자동분류기법을 활용한 분류가 더 효율적일 것이다. 본 논문에서는 국방인트라넷의 수작업으로 구축된 분류체계를 대상으로 용어 가중치를 계산하는 방법을 달리하여 다양한 분류기법을 적용하여 성능을 비교평가하고 웹문서 자동분류시스템에 적용하여 분류성능의 향상을 도모하고자 한다.

• Journal of the Korean Society for information Management
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• v.13 no.2
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• pp.97-120
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• 1996

This study reports the results of an exploratory investigation into building number technique applied by a sample of novice students using Electronic Dewey(ED). For control purposes, a second sample used the same classification schedule but in print format. In this experiment, the DDC 20 in print had a higher success rate than ED. While the searches in ED took shorter time than DDC in print, students using DDC 20 in print were able to build more correct numbers than ED. Novice users did not take full advantage of system features of ED. Therefore, it is important to note the overall difficulty with which users could build numbers from the ED after little training. However, it is interesting to note that the students in the CD-ROM group were more interested in building numbers than their colleagues in the Print group. The correlation between the grade of English course and the score in experiment was negative in Print group. And the correlation between GPA and the score in experiment was a little positive. The correlation between the time and the score in experiment was quitenegative.

• Journal of Korea Technology Innovation Society
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• v.10 no.3
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• pp.531-554
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• 2007

This paper suggests a new model connecting various knowledge activities through classification systems such as classifications of research, technology, industry, major and job. Although research activities are linked to technology and industry areas or to education and job areas, there is no effort to link these kinds of activities. There are a few studies to link research and technology or research and education respectively. But, there have been no studies to connect technology-industry linkage and education-job linkage. This paper suggests that research area can be a basis of link between technology-industry linkage and education-job linkage. The methods building the links are not simple, but easy; 1) setting up new science/research classification system having two dimensions of research and application, 2) building electronic systems and databases allowing fields for several classification systems, and 3) making rules using multi-dimensional classification systems following the purpose of the programs. The model is designed to meet the needs of nationwide R&D and human resources policies, and for the preparation of knowledge society to grasp the relationship between sequential activities using knowledge. If we know the interactive relationships between various areas, we can trace related phenomena in different activities with restricted information.

• Korean Journal of Plant Taxonomy
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• v.39 no.3
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• pp.143-169
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• 2009

To confirm the taxonomic identity of taxa described by $L{\acute{e}}veill{\acute{e}}$, H. H. A, a French plant taxonomist, in the serial papers of Decades plantarum novarum based on the collections of Fathers Faurie and Taquet from the Korean peninsula, we examined the numerous references that contained taxonomic opinions about $L{\acute{e}}veill{\acute{e}}^{\prime}s$ taxa. Among them, 146 taxa were confirmed as conspecific with other existing taxa. Of them, 79 taxa, including Ajuga devestita, were listed as a synonym of only one species. Sixty-seven taxa, including Bidens robertianifolia, were listed as synonyms of two or more species according to taxonomists. Eight taxa, including Aconitum coreanum, were considered illegitimate names because of later homonym, or other problems. Five taxa, including Rhododendron hallaisanense, were treated either as distinct or conspecific taxa depending on taxonomists.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05b
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• pp.747-750
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• 2003

분류검색 방법은 색인검색 방법과 함께 중요한 요소로서 웹 검색 엔진에서 지원되고 있다. 색인검색 방법에서는 검색결과의 재현율이 높지만 검색결과가 너무 많이 나오기 때문에 원하는 검색결과를 찾아내는 것이 어렵다는 단점이 있다. 또한 능숙한 컴퓨터 사용자는 색인검색을 자주 사용하지만, 컴퓨터에 익숙하지 않은 대부분의 사람들은 분류검색 방법을 사용한다. 이러한 이유 때문에 검색엔진에서 분류검색 방법이 반드시 필요하다. 그러나 분류검색 방법은 찾고자 하는 문서의 해당분류가 애매모호하거나 명확하게 알지 못할 때에는 문서를 찾지 못하는 경우가 빈번히 발생한다. 즉, 검색결과의 정확도는 높으나 재현율이 떨어지는 단점이 있다. 본 논문은 이러한 분류검색에 대한 문제점을 해결하기 위해서 분류와 검색어간의 관계를 퍼지논리를 이용하여 정량적으로 계산하고 이를 바탕으로 분류간의 함의관계를 유도함으로써 동적인 분류체계를 구성하는 새로운 웹 검색엔진을 설계하고 구현하였다. 구현된 검색엔진은 분류간의 함의관계를 유사한 하위분류로서 간주함으로써 분류검색 결과의 재현율을 높일 수 있다.

• Journal of Korean Library and Information Science Society
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• v.31 no.4
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• pp.111-138
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• 2000

The lxnpose of this study is to pmvide the basic data for developing rational classification scheme of intemet resources in the fields of the information & telecommunications technology. The coverage of this study is, kt, to dehe the concept of informtion & telecommunications, and also to investigate the division of information & telecommunications technology through the literature, seumd, to analyze the using library classification schemes for internet resources, and thud, to review classi6cation system of the directory search engines. In this study, I w new

• Journal of Korean Society for Geospatial Information Science
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• v.4 no.2 s.8
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• pp.137-147
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• 1996

In this paper, the performances between maximum likelihood classifier based on statistical classification and multilayer perceptrons based on neural network approaches were compared and evaluated Experimental results from both neural network method and statistical method are presented. In addition, the nature of two different approches are analyzed based on the experiments.