• International Journal of Contents
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• 제5권3호
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• pp.14-18
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• 2009

Traditional methods and materials used for Korean buildings need to be well organized and managed so that they can be utilized in modernization of old buildings. Supporting web-based management of information of Korean traditional building materials helps spread the related knowledge. This paper identifies the characteristics of traditional building materials data, and develops an information structure to represent the related information effectively. It also describes design decisions on web-based user interfaces to support flexible browsing and retrieval of the managed data. As the traditional building data are described by old domain-specific technical terms, utility of the developed service might be limited to those who are familiar with the terms. As an approach to tackle this problem, the proposed system supports user tagging by allowing users to classify the stored information using their own terms, and also to retrieve data using the user-supplied tags.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2003년도 Proceeding
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• pp.99-104
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• 2003

In this research, we proposed 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 former researchers tried to develop a text-oriented knowledge base (KB) and inference engine (IE). However, thy have 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, many of researchers had tried to develop an automatic knowledge extraction and refining mechanisms. 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, in this study, we propose an automatic knowledge acquisition and composite inference mechanism based on DM, FNN, and RDB-driven inference. Our proposed mechanism has five advantages empirically. First, it could extract and reduce the specific domain knowledge from incomplete database by using data mining algorithm. Second, our proposed mechanism could manipulate the ambiguousness in knowledge by using fuzzy membership functions. Third, it could construct the relational knowledge base and expand the knowledge base unlimitedly with RDBMS (relational database management systems). Fourth, our proposed hybrid data mining mechanism can reflect both association rule-based logical inference and complicate fuzzy logic. Fifth, RDB-driven forward and backward inference is faster than the traditional text-oriented inference.

• 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.

• 한국조리학회지
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• 제21권4호
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• pp.251-270
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• 2015

본 연구의 목적은 한국 고유의 전통지식에 기반하여 음식을 이용한 건강증진 방법에 대한 지식을 체계화하고 통계적으로 활용할 수 있는 방법에 대하여 연구하는 데 있다. 이를 위하여 한국 고유의 음식을 이용한 질병치료에 대하여 언급한 고문헌인 식료찬요(食療纂要)의 지식을 DB로 구축하였다. 데이터의 처리는 Relational Data Model을 이용하였고, 9개의 데이터 테이블을 사용하였다. 소프트웨어는 MS사의 Access 2014를 사용하였다. 그 결과, 데이터베이스 쿼리문장을 이용하여 식재료, 약재별, 증상, 병명, 효능, 변증 정보를 유기적으로 조건을 만들어 통계적 결과를 즉시 확인할 수 있었다. 따라서 이러한 Relational Data Model을 이용하여 기존 방식의 연구논문을 대체할 수 있었다.

• 대한가정학회지
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• 제33권4호
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• pp.65-87
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• 1995

The purpose of this study was to investigate the consciousness, knowledge and food preferences for the Korean traditional foods, using a questionnaire survey for 560 high school students in seoul. The data were analyzed with simple frequency, percentage, t-test, chi-square test, dispersion analysis, Pearson's correlation and hierarchical multiple-regression analysis using the SPSS/PC+ Package system. The results of the survey are summarized as follows ; Girls showed a more interest in Korean traditional foods than boys. The motive of having interest in korean traditional foods were through mass communication or home education. Most of students were preffered korean traditional foods and were proud of native foods. The most preffered foods were Kim-chi and beverage. and they thought that color, appearance, foodstuff combination of Korean traditional foods were better than those of foreign foods. they showed a tendency to decrease the use Korean traditional foods because it is difficult to cook and they have little time to cook. They have taken more Korean traditional foods at home. Most students were responded that it is necessary to develope Korean traditional foods at home for the succeeding of korean dietary life culture. For the idea of improving Korean traditional foods, it is thought that simplified cooking method, new cooking method and fastfood is developed.

• 대한한의학회지
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• 제25권3호
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• pp.12-19
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• 2004

Objectives : In the WIPO conference about the protection of intellectual property for traditional knowledge (TK) and genetic resources (GR), there was a demand concerning the necessity of recognizing the invention of TK and GR and the foundation of a related database. Methods : In the standard of the foundation of a database, the content and resource identification standards, the technological standards and the security and transmission standards were discussed. In a decision on intellectual property, it means the protection and recognition as a technology precedent of the materials of the database. Results : Massive material on traditional medical care technology in Korea has existed in many areas. However, it is hard to make a database because it is difficult to organize and find the data. In addition, a database demanded by WIPO is not only the material of images or texts of simple technology information, but also the use of patent decisions about traditional knowledge technology and the public sharing of information in related areas. A traditional medical care database would consist of the core of a subject and the related areas. The core part is the medical herb resource and Oriental clinical technology. Conclusions : These are necessary to detail the kind of medicines and prescriptions, their use, and their processing. In the related areas, it needs to detail PIAS and clinical data in regarding the industrialization. These DB have to protect the TK and the GR of Korea.

• 셀메드
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• 제6권3호
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• pp.21.1-21.15
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• 2016

In Kenya, traditional knowledge on herbal medicine has remained a mainstream source of maintaining wellbeing for generations in many communities. However, the knowledge has been eroded in the course of time due to sociocultural dynamics virtually advanced by Christianity and formal education especially in the Kikuyu community. The study documented current ethnobotanical knowledge and threat to the traditional knowledge on medicinal plants among the Kikuyu community. A survey was carried out in Mathira, Tetu, Kieni, Othaya, Mukurweini, and Nyeri Town constituencies. Thirty practicing herbalists were purposively sampled; 5 per constituency. Data was obtained through semi - structured questionnaires and analyzed both qualitatively and quantitatively. A total of 80 ailments treated using 111 medicinal plant species distributed within 98 genera and 56 families were documented. Prevalent communicable diseases treated using herbal medicine included; gonorrhea (17.5%), malaria (15%), respiratory infections (12%), colds (10%) and amoebiasis (10%). Non-communicable diseases were; joint pains (11.1%), ulcers/hyperacidity (8.7%), high blood pressure (8.7%), intestinal worms (11.1%) and arthritis/gout (10%). Frequently harvested plant materials were; roots, barks and leaves. The study concluded that, traditional medicine practitioners in Nyeri County possessed wide knowledge of herbal medicine but this knowledge was on the verge of disappearing as it was largely a preserve of the aged generation. The study recommended massive campaign about the benefits of using herbal medicine in the study area. Further pharmacological studies are recommended on the mentioned plant species aimed at establishing their efficacy and safety as well as standardization as potential drugs.

• 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.

• 지식경영연구
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• 제9권2호
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• pp.87-107
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• 2008

The knowledge society has come to where the knowledge is the source of wealth contrary to the traditional era that labor and capital were the source of wealth. Thus, corporate is accelerating to introduce the knowledge management and to establish the knowledge management system (KMS) in order to effectively manage the knowledge that can be the source of their competitiveness. The purpose of this paper is to identify the factors which affect knowledge sharing and to prove empirically their relationships with the KMS performance. A survey was conducted and data were collected from 220 respondents of 19 organizations which have adopted KMS. Research model and related hypotheses were tested using PLS Graph 3.0. As a result of data analysis, seven hypotheses out of eleven hypotheses were supported. In particular, knowledge sharing is significantly influenced by those knowledge sharing factors such as openness, trust, training, reward system, perceived usefulness, and communication channel. Also, individual impact is significantly affected by knowledge sharing. This study is expected to provide a sound basis for understanding the importance of knowledge sharing to gain organizational as well as individual competitiveness and exploring ways to effectively share knowledge through enhancing the use of KMS in organizations.

• 동의생리병리학회지
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• 제22권1호
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• pp.1-12
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• 2008

This study is a report on the restoration process and future projects involving the restoration of the medical records from 1914 to 1974. Cheong-Gang Young-Hoon Kim was born in 1882 and passed away in 1974. His times were the times when Korean Traditional Medicine was being neglected due to the introduction of Western Medicine through Japan. During this time Young-Hoon Kim put much effort into the Korean Traditional Medicine Restoration Movement and left over 150,000 medical records while consistently examining patients. Currently, this data can be found at the College of Oriental Medicine, Kyunghee University and is being compiled into a database as a part of the 2007 Knowledge of Oriental Medicine Web Service Project. The Preface and Chapter 1 introduce the author and the contents of the Cheong-Gang Medical Records, and Chapter 2 briefly discusses the necessity of providing digitalization and modernization to the medical records. Chapter 3 discusses the preservation process of the original medical records, chapter 4 describes the process of restoring and providing web access to the contents of the medical records, and chapter 5describes the main purpose of the medical records as well as future projects and an outlook involving the Knowledge of Oriental Medicine Web Service Project.