• Informatization Policy
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• v.17 no.2
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• pp.3-24
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• 2010

This is to review all empirical research articles on knowledge management activities in Korean government agencies. Analyzed were forty six articles published in some major journals for the last decade. The results of analysis show that they mainly focused on such topics as what factors have statistically significant influences upon the knowledge-based activities and whether knowledge activities have achieved the intended performance. More research attentions have been paid upon both knowledge sharing and knowledge creation activities. Most of the empirical studies are dependent upon hypotheses testing, data collection in questionnaire, and the use of multivariate statistical methods. Some suggestions for future research are to do research on more diverse topics, to utilize various research methods, and to make an integrated approach to the knowledge management.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.11 no.2
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• pp.5-23
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• 2000

This study explores the relationships between knowledge and classification. Classification schemes have properties that show the representation of entities and relationships in structures that reflect knowledge being classified. Four representative classifying methods. i. e. hierarchies, trees, paradigms, and faceted analysis those brings new knowledge are analyzed and those strengths and weaknesses are described. Based upon the analysis, the links between knowledge and classification are verified. Finally a better way of representing knowledge structure through classification schemes in the future is suggested.

• Computational Structural Engineering
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• v.9 no.2
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• pp.163-171
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• 1996

A hybrid knowledge model which amalgamates an object-oriented modeling approach and logic programming implementation is presented for structural health monitoring and diagnosis of instrumented structures. Domain knowledge in structural monitoring and diagnosis is formalized and represented in a logic-based object-oriented modeling environment. The model and environment have been implemented and illustrated in the context of a laboratory case study of damage detection in a successively damaged steel structure.

• Journal of the Korea Society of Computer and Information
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• v.5 no.3
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• pp.132-141
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• 2000

Designing and implementing to support both technical and social interaction by group members, GDSS can effect positively on developing and sustaining knowledge-intensive organization. This study proposes usage types of GDSS as KMS. By understanding level of GDSS, knowledge transfer process, and group members' interaction modes, we suggest some additional characteristics of GDSS and possible technology to be able for ai)plying to GDSS.

• Korean Journal of Social Welfare
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• v.65 no.1
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• pp.299-324
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• 2013

Institutional Ethnography, a methodology, developed by Dorothy Smith in Canada. Institutional Ethnography is different from traditional ethnography. Also it differs from various kinds of ethnographies such as interpretive ethnography, political ethnography, organizational ethnography, feminist ethnography, auto ethnohraphy. Institutional Ethnography explores social organization of everyday's actualities in institutional settings. This study introduces the outlines of institutional ethnography and examines the usefullness and implications in social welfare knowledge. Usefulness and implications of institutional ethnography follows: 1) expansion and specification of knowledges of 'organized actualities' in social welfare practice and policy fields 2) discovery of specific points for institutional changes in social welfare fields 3) production of social welfare knowledge from the standpoint of ruled, oppressed peoples.

• Knowledge Management Research
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• v.24 no.1
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• pp.127-145
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• 2023

This paper analyzed a patent trend for technological domain of hydrogen fuel cell, can improve future energy and pollution problems. Patent analysis is used in establishing a technological roadmap which it can discover the current technology capability and future technological development direction. However, the previous patent analysis is qualitative analysis and simple statistical analysis. The reason why it incorrectly analysis patent does not reflect the current technology environment. The current technology environment is development through recombination of technologies. In addition to, the speed of technological development is rapidly growing. So, qualitative analysis does not satisfy the analysis requirements of the times. This paper utilized KP(Knowledge Persistence)-based main path analysis and text mining methods to reflect the current technological environment. As a result, we found core patents, main technology development, and promising technologies for technological domain of the hydrogen fuel cell.

• Journal of KIISE:Software and Applications
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• v.31 no.8
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• pp.999-1009
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• 2004

As a new approach to the diagnosis of cancers, bioinformatics attracts great interest these days. Machine teaming techniques have produced valuable results, but the field of medicine requires not only highly accurate classifiers but also the effective analysis and interpretation of them. Since gene expression data in bioinformatics consist of tens of thousands of features, it is nearly impossible to represent their relations directly. In this paper, we propose a method composed of a feature selection method and genetic programming. Rank-based feature selection is adopted to select useful features and genetic programming based arithmetic operators is used to generate classification rules with features selected. Experimental results on Lymphoma cancer dataset, in which the proposed method obtained 96.6% test accuracy as well as useful classification rules, have shown the validity of the proposed method.

• Journal of the Korean Institute of Intelligent Systems
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• v.10 no.3
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• pp.232-241
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• 2000

This study suggests an integrated method based on concept hierarchies, information gain, and rough set theory for efficient discovery rules from a large amount of data, and implements an optimal rules discovery system. Our approach applies attribute-oriented concept ascension technique to extract generalized knowledge from a database, knowledge reduction technique to remove superfluous attributes and attribute values, and significance of attributes to induce optimal rules. The system first reduces the size of database by removing the duplicate tuples through the condition attributes which have no influences on the decision attributes, and finally induces simplified optimal rules by removing the superfluous attribute values by analyzing the dependency relationships among the attributes. And we induce some decision rules from actual data by using the system and test rules to new data, and evaluate that the rules are well suited to them.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.399-405
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• 2007

생물 의료 분야에서 정보의 양이 아주 빠르게 증가하고 있다. 이러한 방대한 양의 정보에서 유용한 정보를 추출하기 위해 텍스트 마이닝 기법을 이용한 연구들이 많이 진행되어 왔다. 그렇지만 이렇게 뽑아진 정보조차 그 양이 방대하고, 또한 텍스트로 되어 있기 때문에 직관적으로 이해하기가 어렵다. 따라서 이러한 정보들을 좀 더 직관적으로 이해하기 위해서는 정보 시각화 시스템이 필수적이다. 최근 들어 이러한 정보 시각화에 대한 연구가 많이 진행되었으나 이러한 시각화 정보조차 너무나 방대하기 때문에 사용자가 필요로 하는 정보를 여과해 주는 방법이 필요하다. 그리고 시각화 시스템에서의 지식 발견을 위한 방법을 제공하여야 한다. 본 논문에서는 생물 의료 정보의 텍스트 시각화에 초점을 맞추어 생물 의료 정보의 효과적인 표현 방법과 지식 발견을 위한 직관적인 인터페이스를 제안하고자 한다.

• The Bulletin of The Korean Astronomical Society
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• v.37 no.2
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• pp.102.2-102.2
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• 2012

이 연구의 목적은 거시적인 관점에서 NOS의 중요한 요소들을 강조한 Flow map(oh, 2011)를 이용한 명시적이고 암시적인 교육의 본성교육이 얼마나 이루어졌는가를 알아본다. 과학의 본성은 지식의 내용뿐만 아니라 지식이 어떻게 형성되었는가에 있다. 이러한 과학의 본성을 이해한다는 것이 현대의 과학의 중요한 목적중의 하나인 과학적 소양을 얻는 것이다. 이를 구체적으로 실현하는 교수 모형으로 가장 중요한 이론의 생성과 실험에 의한 확증과 이론의 확증을 미시적인 관점으로 연구를 전개하였다. 따라서 먼저 Kuhn(1996)의 과학철학 이론과 NOS를 통한 Flow map 개발에 이론적 배경이 된 과학의 본성의 정의, 과학의 본성에 대해 합의된 핵심 요소들, Kuhn(1996)의 과학철학 이론을 바탕으로 한 Oh(2011)가 제안한 Flow map의 구조를 알아본다. 연구방법은 귀추(abduction)를 통한 가설의 생성과정과 확증을 보여주는 Oh(2012)의 자연과학의 추리과정을 이용하여 충북대학교 천문우주학과에서 자연과학캠프에 참여한 고등학생들을 대상으로, "Galileo의 흑점발견과정"으로부터 현대의 태양의 흑점 모형을 이해하도록 한다.