• 기술혁신연구
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• 제6권1호
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• pp.71-98
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• 1998

This paper analyzes the characteristics of technological knowledge flow-structure of Korean manufacturing in dynamic perspective. In doing that, the concept of the knowledge network is introduced which is defined as a set of industries and their interaction(knowledge flow) or linkage. The analysis of the inter-industrial knowledge flows is based on the technological similarity by using R&D researchers' academic background in the year of 1984, 1987, 1990. The analysis is carried out by such methodology as network analysis, indicator analysis and simple statistical analysis. And the final results are drawn both in absolute terms(dimension effect) and in relative terms(proportion effect) respectively. The main findings are as follow. First, the Korean manufacturing knowledge network appears to strengthen existing inter-industrial knowledge linkages rather than to construct new linkages. Second, the network seems to form a dualistic structure in that some high-technology sectors(knowledge production sectors) emerge along with traditional sectors(knowledge absorbing sectors). Third, since the mid-1980s, an inter-industrial fusion is witnessed among technologically intensive sectors, indicating that some sophisticated innovation modes are emerging in Korean manufacturing system. And fourth, by using the relations of the inter-industrial knowledge-flows, we classified manufacturing industries into 3 type ; knowledge-outflow sector, knowledge-inflow sector and knowledge intermediary sector.

• 한국한의학연구원논문집
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• 제16권1호
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• pp.69-84
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• 2010

It is the well-known truth that processing of raw information is needed to a certain extent during information search. Especially for Oriental Medical information, it becomes much clearer that even more complex processing is necessary. As a means of reducing such complexity, this study suggests a way to understand effectively the organic relationships among information found on the interface. In this process, 'knowledge-based archaeological' method has been used. A new concept of interface observed by this research is the study of a system which contains realistically considered knowledge-based archaeological and historical specificity. These models are organized so that search results could be materialized in different tree-structured interface models, which can help one understand the relationships among wanted search results at one glance and confirm the details of those results via mouse click. Strength of the vertical tree structure resides in its capability of suggesting its users clear historical relationship between separate Oriental medical information. The horizontal tree structure enables deeper understanding of sectional interrelationship of searched information. The strength of the prescription tree structure is that it helps one understand the lineage of prescriptions, as Oriental medicinal treatment is often summarized into changes in prescriptions.

• 한국환경교육학회지:환경교육
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• 제10권2호
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• pp.51-62
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• 1997

The objective of this study was to review the meaning and problems of Scientific Knowledge and Ethical Value in Environmental Education. The ultimate goal of environmental education is shaping proenvironmental human behavior. The factors of human behavioral decision making are ideology, value, attitude and behavioral intentions. Ideology is a kind of belief system used by social groups to interpret their social world. The main elements of belief system are knowledge and value. The traditional thinking in education has been that we can change behavior by making human beings more knowledgeable and more valuable. In environmental education, the aim of scientific inquiry is to analysis cause-effect relation of human beings behavior and environmental phenomenon, and ethical education is to change the mind of human beings from zero-sum to positive-sum about the relations between human beings and natural environments. But, there are many problems of knowledge education and value education in environmental education. For example scientific knowledge without ethical value is dangerous to environment protection, and ethical value without scientific knowledge is vague. Therefore, we must recognize that the relationship of ethical value and scientific knowledge is not substitutional but complementary. The teaching-learning methods which can integrate knowledge and value in environmental education are rational decision making model. For this model, we can construct teaching contents with inquiry materials. To earn the benefits of specialization among several subjects in environmental education, social studies can focus on social science knowledge and decision making, science education can focus on pure natural science knowledge and scientific investigation, moral education can focus on problems of ethical value system, home economics can focus on practical action and environmental education(Environments in middle school, Ecology and Environments in high school) can integrate social-national science knowledge and ethical value in broad perspective about human beings and ecosystem. That is the method to protect from law of diminishing marginal utility of learning in environmental education.

• 한국기술혁신학회:학술대회논문집
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• 한국기술혁신학회 1999년도 추계학술대회
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• pp.163-177
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• 1999

전통적 혁신 이론에서 과학과 기술은 공공재와 지식으로 다루어지며, 이러한 관점은 선형모델과 기술 결정론을 자연스럽게 도출시킨다. 그러나 과학과 기술을 새롭게 규정하는 신혁신 이론에서는 기술의 사회적 형성을 강조하며, 선형 모델에서 탈피하여 혁신과정의 상호작용, 네트워크, 시스템 측면을 포섭하고 있다.

• 지식경영연구
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• 제11권4호
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• pp.21-39
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• 2010

Recommender system is a core component of e-commerce. Correspondingly, metrics to evaluate the system performance have been developed and applied. However, even though we have lots of applications that have tried to adopt recommender systems, the dearth of successfully installed recommender systems for more than a decade leads us to a skeptical thinking that current metrics do not sufficiently indicate the recommender system success in business viability point of view. Hence, the purpose of this paper is to reconfigure measures for recommender system success. Adopting DeLone and McLean's amended model of information system success as the underlying framework, content analysis with intellectual properties on recommender systems was conducted to modify the currently used metrics. Then a model of recommender system success is proposed based on the newly identified metrics are compared with traditional metrics.

• 기술경영경제학회:학술대회논문집
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• 기술경영경제학회 1997년도 제12회 동계학술발표회 논문집
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• pp.133-158
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• 1997

This paper analyzes the characteristics of technological knowledge flow-structure of Korean manufacturing in dynamic perspective. In doing that, the concept of the knowledge network is introduced which is defined as a set of industries and their interaction(knowledge flow) or linkage. The analysis of the inter-industrial knowledge flows is based on the technological similarity by using R&D researchers'academic background in the year of 1984, 1987, 1990. The analysis is carried out by such methodology as network analysis, indicator analysis and simple statistical analysis. And the final results are drawn both in absolute terms(dimension effect) and in relative terms (proportion effect) respectively. The main findings are as follow. First, the Korean manufacturing knowledge network appears to strengthen existing inter-industrial knowledge linkages rather than to construct new linkages. Second, the network seems to form a dualistic structure in that some high-technology sectors (knowledge production sectors) emerge along with traditional sectors (knowledge absorbing sectors). Third, since the mid-1980s, an inter-industrial fusion is witnessed among technologically intensive sectors, indicating that some sophisticated innovation modes are emerging in Korean manufacturing system.

• 지능정보연구
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• 제9권2호
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• pp.19-38
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• 2003

In this research, we propose the mechanism to develop self-evolving expert systems (SEES) based on data mining (DM), fuzzy neural networks (FNN), and relational database (RDB)-driven forward/backward inference engine. Most researchers had tried to develop a text-oriented knowledge base (KB) and inference engine (IE). However, this approach had some limitations such as 1) automatic rule extraction, 2) manipulation of ambiguousness in knowledge, 3) expandability of knowledge base, and 4) speed of inference. To overcome these limitations, knowledge engineers had tried to develop an automatic knowledge extraction mechanism. As a result, the adaptability of the expert systems was improved. Nonetheless, they didn't suggest a hybrid and generalized solution to develop self-evolving expert systems. To this purpose, we propose an automatic knowledge acquisition and composite inference mechanism based on DM, FNN, and RDB-driven inference engine. Our proposed mechanism has five advantages. First, it can extract and reduce the specific domain knowledge from incomplete database by using data mining technology. Second, our proposed mechanism can manipulate the ambiguousness in knowledge by using fuzzy membership functions. Third, it can construct the relational knowledge base and expand the knowledge base unlimitedly with RDBMS (relational database management systems) module. Fourth, our proposed hybrid data mining mechanism can reflect both association rule-based logical inference and complicate fuzzy relationships. Fifth, RDB-driven forward and backward inference time is shorter than the traditional text-oriented inference time.

• 동의생리병리학회지
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• 제24권6호
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• pp.1111-1116
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• 2010

We in this paper design and implement a traditional korean medicine diagnosis system based on basic ontology. If doctors put the symptoms or tongues or pulses of a patient in the diagnosis system, they can be recommended for the diagnosis results. To support the doctors decision, the diagnosis system make the inference based on the basic ontology and compute the similarity between symptoms of patient and those of ontology. The diagnosis systems also provide the learning mechanism about diagnosis results which save the results in the ontology and reuse them in the next diagnosis. Thus, doctors can share their knowledge for the diagnosis by exchanging their ontology each other. In future, we will expand the knowledge of the basic ontology continuously so that doctors can get the more accurate diagnosis results. We also implement the prescription function and integrate it to the diagnosis system.

• 동의생리병리학회지
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• 제24권5호
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• pp.758-769
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• 2010

This is a preliminary study for examining the identity issue of the current Traditional Korean Medicine(TKM). In order to examine the identity issue, it is necessary to understand "what" current TKM is. The current TKM has been formed in the complicated historical settings and the newly formed academic geography of modern times, completely different from those of the traditional era. This paper took diachronic and synchronic approaches in order to understand the current TKM. In the process of modernization and scientization of the TKM-which had begun in the early twentieth century-the western medical knowledge merged into the TKM. Also, as the College education of the TKM began after the Liberation from the Japanese colonial rule, the TKM scholars accepted the western medical department system to develop the TKM into professional knowledge. Meanwhile, since the late 1970s, the TKM has been influenced by the modern Traditional Chinese Medicine (TCM), and the TCM knowledge also merged into the TKM. And recently, the research methodology of the complementary and alternative medicine (CAM), and the clinical research technique of the western medicine-like Evidence based Medicine (EBM)-are affecting the scientization and clinical study of the TKM. The current TKM has been formed as a result of the hybridization of these different knowledges. These changes in the TKM were inevitable for the survival of it in the fast changing world. But these changes brought with them problems. Among those, the identity issue is the most important and crucial.

• 대한본초학회지
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• 제34권6호
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• pp.1-23
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• 2019

Objectives : The purpose of this study was to document the use of medicinal plants in traditional practices and to analyze and evaluate medicinal traditional knowledge of indigenous people in Wolchulsan National Park. Methods : Data were collected through interviews, informal meetings, open and group discussions, and observations guided by semi-structured questionnaires. Data were analyzed via quantitative analysis of use value (UV), informant consensus factor (ICF) and fidelity level (FL), and network analysis. Results : A total of 580 methods of usage recorded in this study were classified into 55 families, 95 genera, and 104 species. Plants with the highest recorded UVs were Glycine max (L.) Merr., Leonurus japonicus Houtt., and Artemisia princeps Pamp.. The informant consensus factor about using medicinal plants ranged from 0.55 to 0.92, which showed a high level of agreement among the informants on respiratory system disorders and pains. There were 22 species of plants with a fidelity level of 100 %, after eliminating the plants that were mentioned only once from the analysis. Finally, using network analysis, Glycine max (L.) Merr. and Artemisia princeps Pamp. were defined as species with meaningful medicinal use, while lumbago and leg pain were defined as significant ailments in the study area. Conclusions : This study highlights the diversity and importance of medicinal traditional knowledge for communities of Wolchulsan National Park, Korea. The results of this study will provide basic data for phytochemical and pharmaceutical studies, such as new medicines and therapies.