• Title/Summary/Keyword: Implicit knowledge

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The Influence of Environment-friendly Agricultural Products(EAPs) Perception of Parents in Chung-buk Area on EAPs Consumption Behavior (충북 지역 학부모의 친환경 농산물에 대한 인식이 친환경 농산물 이용에 미치는 영향)

  • Choi, Mi-Kyung;Seo, Hyun-Chang;Baek, Seung-Hee
    • The Korean Journal of Food And Nutrition
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    • v.23 no.2
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    • pp.269-275
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    • 2010
  • The current exploratory study attempted to investigate the influence of environment-friendly agricultural products(EAPs) perception on EAPs consumption behavior. The survey was conducted to parents of elementary school in Chung-buk area by the help of homeroom teachers of each school. Out of 500 questionnaires administered, a total of 305 completed questionnaires were returned, yielding a response rate of 61%. Regarding buying behavior, 89.6% of respondents have ever bought EAPs, among them, 52.9% usually bought in a mart. The reason to buy EAPs was mostly safety(57.6%), nutrition & health(30.4%), and quality(7.0%). The 11 items representing the attitude and knowledge were analyzed, resulting in three distinct dimensions-'attitude', 'knowledge', and 'concern'. The knowledge level of EAPs was slightly higher than medium. Concerning the influence of EAPs perception on EAPs consumption behavior, the more having high knowledge and attitude level on EAPs, the more lead to the EAPs consumption behavior. This implicit the importance of education to enhance the knowledge level and positive attitude towards EAPs.

Hybrid Intelligent Web Recommendation Systems Based on Web Data Mining and Case-Based Reasoning

  • Kim, Jin-Sung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.3
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    • pp.366-370
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    • 2003
  • In this research, we suggest a hybrid intelligent Web recommendation systems based on Web data mining and case-based reasoning (CBR). One of the important research topics in the field of Internet business is blending artificial intelligence (AI) techniques with knowledge discovering in database (KDD) or data mining (DM). Data mining is used as an efficient mechanism in reasoning for association knowledge between goods and customers' preference. In the field of data mining, the features, called attributes, are often selected primary for mining the association knowledge between related products. Therefore, most of researches, in the arena of Web data mining, used association rules extraction mechanism. However, association rules extraction mechanism has a potential limitation in flexibility of reasoning. If there are some goods, which were not retrieved by association rules-based reasoning, we can't present more information to customer. To overcome this limitation case, we combined CBR with Web data mining. CBR is one of the AI techniques and used in problems for which it is difficult to solve with logical (association) rules. A Web-log data gathered in real-world Web shopping mall was given to illustrate the quality of the proposed hybrid recommendation mechanism. This Web shopping mall deals with remote-controlled plastic models such as remote-controlled car, yacht, airplane, and helicopter. The experimental results showed that our hybrid recommendation mechanism could reflect both association knowledge and implicit human knowledge extracted from cases in Web databases.

An Algorithm for Sequential Sampling Method in Data Mining (데이터 마이닝에서 샘플링 기법을 이용한 연속패턴 알고리듬)

  • 홍지명;김낙현;김성집
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.21 no.45
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    • pp.101-112
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    • 1998
  • Data mining, which is also referred to as knowledge discovery in database, means a process of nontrivial extraction of implicit, previously unknown and potentially useful information (such as knowledge rules, constraints, regularities) from data in databases. The discovered knowledge can be applied to information management, decision making, and many other applications. In this paper, a new data mining problem, discovering sequential patterns, is proposed which is to find all sequential patterns using sampling method. Recognizing that the quantity of database is growing exponentially and transaction database is frequently updated, sampling method is a fast algorithm reducing time and cost while extracting the trend of customer behavior. This method analyzes the fraction of database but can in general lead to results of a very high degree of accuracy. The relaxation factor, as well as the sample size, can be properly adjusted so as to improve the result accuracy while minimizing the corresponding execution time. The superiority of the proposed algorithm will be shown through analyzing accuracy and efficiency by comparing with Apriori All algorithm.

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Exploration to Model CSCL Scripts based on the Mode of Group Interaction

  • SONG, Mi-Young;YOU, Yeong-Mahn
    • Educational Technology International
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    • v.9 no.2
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    • pp.79-95
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    • 2008
  • This paper aims to investigate modeling scripts based on the mode of group interaction in a computer-supported collaborative learning environment. Based on a literature review, this paper assumes that group interaction and its mode would have strong influence on the online collaborative learning process, and furthermore lead learners to create and share significant knowledge within a group. This paper deals with two different modes of group interaction- distributed and shared interaction. Distributed interaction depends on the external representation of individual knowledge, while shared interaction is concerned with sharing knowledge in group action. In order to facilitate these group interactions, this paper emphasizes the utilization of appropriate CSCL scripts, and then proposes the conceptual framework of CSCL scripts which integrate the existing scripts such as implicit, explicit, internal and external scripts. By means of the model regarding CSCL scripts based on the mode of group interaction, the implications for research on the design of CSCL scripts are explored.

Development and Application of Classroom Homepage Using Wiki (지식공유기법을 활용한 학급 홈페이지의 개발 및 적용)

  • Kim, Yu-Song;Yoo, In-Hwan
    • Journal of The Korean Association of Information Education
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    • v.10 no.1
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    • pp.13-22
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    • 2006
  • Students should be able to find information and resources using the Internet. Also students need to have composite intellectual abilities to select information, convert to knowledge and communicate it to other people. However, most school and classroom homepages provide students with information but not contents that help them produce knowledge. This lowers the rate of connection to homepage. Thus, the purpose of this study is to develop and apply homepage, which helps students make knowledge from comprehended and interpreted information(Knowledge.Sharing Technique; KST). In this study we use 'WIKI KST' and 'Q&A KST' to share knowledge. WIKI KST is 'an encyclopedia that we make,' which means that students upload their prior knowledge or knowledge produced from comprehended and interpreted information and create new knowledge to be added to their own knowledge and others'. As a result, the abilities to comprehend and interpret acquired information are improved and the ability to change implicit knowledge to explicit knowledge is also improved. Students create new knowledge to share their knowledge and, as a result, the rate to connection to homepage gets higher.

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A Study on Understanding of DSS for Developing and Knowledge -Intensive Organization (지식집약조직의 유지를 위한 의사결정지원시스템의 활용에 관한 연구)

  • Kan, Kwang-Hyun;Yoon, Ji-Hee;Jang, Geun;Jung, Kwan-Hee;Lee, Byung-Soo
    • Journal of the Korea Computer Industry Society
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    • v.2 no.8
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    • pp.1025-1034
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    • 2001
  • We suggest how to use DSS(Decision Support System) as one alternative way of taking advantage of IT in order to develop and maintain Knowledge-Intensive Organization. As organizations support decision making by structuring decision making process, each organization should share implicit knowledge with each member and convert it into explicit one through structuring and synthesizing. Also we show that knowledge management system, which has not been efficiently applied to organization until now, could be used by DSS. Though there are not many cases of successful use of KMS benifits to provide such functions as share, synthesize and solve with organization, it is expected to use DSS frequently by adopting these If methods for achieving and maintaining Knowledge-Intensive Organization.

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A Research on the Uses of Storytelling Approach for Architecture (건축분야에서의 스토리텔링 기법 활용방안 연구)

  • Yoon, Ki-Byung
    • Journal of the Korean housing association
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    • v.18 no.1
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    • pp.53-60
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    • 2007
  • Storytelling approach is the way to formulate and solve problems using stories. Story is a means to understand and react everyday life that can be regarded as multi-dimensional problems. The approach becomes popular in various fields in conjunction with digital technology. In particular, it is used to solve problems in relation to whole context. In design, storytelling approach is used to clarify design constraints. It can be used to clarify and communicate thoughts for design artifacts, and to understand how the artifacts might be used in particular circumstances. In particular, the approach is useful to use under uncertain circumstances. In architecture, storytelling approach can be used in the area of design generation, design critique and capturing design knowledge. In design generation, it can be used to describe and formulate design experiences rather than simple designing artifacts. The approach formalizes design based on stories of user experiences. Digital technology such as virtual reality can be used to experience designed spaces for design modifications. In design critique area, it can be used to fill uncertain facts for historical buildings as welt as different from present status. Such stories can be used to build digital modeling and used to open criticism. Stories can be used to formalize knowledge in architectural domain as a form of implicit knowledge for certain projects. In architecture, it often is required to design types of environment never experienced before as well as to accomodate fast changing technologies. Storytelling methodology can be used as a method to cope with uncertainty and complexity in design requirements along with accumulating design knowledge.

Technology Diffusion Policies of Korea : Current Situation and Policy Directions (우리나라 기술확산정책의 현황과 전개방안)

  • 이공래
    • Proceedings of the Technology Innovation Conference
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    • 1998.06a
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    • pp.226-249
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    • 1998
  • Technology diffusion policy can be defined as the role of government in linking knowledge production with usage. It has an importance due to the fact that linking knowledge between the producing agent and using agent does not automatically occur. If knowledge produced by an R&D agent is not used by somebody else, the knowledge may deteriorate to a social loss since knowledge production consumes a considerable degree of social resources. Explicit technology diffusion policies are not found in Korea. There we, however, a number of implicit policies to promote technology diffusion, mainly by promoting cooperation among universities, industries and research institutes. Government R&D programs have provided incentives for cooperative research projects, and many government sponsored institutes have been assigned the role of technology assistance for small and medium sized firms. Nevertheless, diffusion policies remain weak in comparison to other innovation and technology policies. This is reflected in the relatively small scale of government support for technology diffusion programs. In addition, there is no systematic approach between the different ministries for enhancing diffusion across technologies, institutions, sectors and regions. A comprehensive evaluation of government diffusion programs, which is necessary for improving policy and program design, is lacking. Enhancing the diffusion of technology in Korea will require the strengthening of policies at different levels, including; 1) increasing the orientation of science and technology policies towards diffusion; 2) increasing the scale of existing diffusion programs; 3) developing new diffusion programs, in particular sector-specific or manpower training programs; 4) developing policies to encourage a culture of cooperation that can facilitate technology diffusion; and 5) carrying out substantial policy research to develop diffusion policies.

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Practical Limitations of Theoretical Acceptance Sampling (이론 샘플링 검사의 실무적 한계)

  • Choe, Seong-Un
    • Proceedings of the Safety Management and Science Conference
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    • 2011.11a
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    • pp.205-211
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    • 2011
  • The papaer reviews four theoretical acceptance sampling plans as OC(Operating Characteristics) curve based inspection, rectifying inspection, switching inspection, and continuous inspection. In addition, the study presents practical limitations of theoretical acceptance sampling by attribute and by variable. Finally, following research also recommends the sampling inspection based on production technology. However, the inspection method requires quality expertise with various experience and implicit knowledge of the field.

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Knowledge Management, Information Infrastructure and Expert on Information (지식경영과 정보인프라, 정보전문가의 관계)

  • 노정란
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.9 no.1
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    • pp.207-220
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    • 1998
  • The international community reached an implicit consensus that knowledge management will be the core of our civilization in the next millenium. This dissertation is to view the knowledge management from the point of information science rather than from the standpoint of the business management, which has been the trends of our academic circle so far. The underlying reason is simple, knowledge is the center of the knowledge management and other factors like humans, organization and culture are merely peripheral elements required to apply knowledge in a more appropriate and efficient manner. This paper looks at knowledge-sharing system as the heart of knowledge management emphasizing significance of the procedures such as validation and valuation and knowledge management processes. Adding to this, I dare to say the term 'Information technology Infrastructure' should be changed into'Information Infrastructure' since knowledge itself and how to express them play a more important role in knowledge management than the information technology does.

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