• The Korean Journal of Community Living Science
• /
• v.17 no.4
• /
• pp.15-27
• /
• 2006

Most countries recognize traditional knowledge as an economical resource in recent years, and so are actively participating in WIPO discussions for making sure of their intellectual property rights. In this study, the definition of traditional knowledge was discussed for making clear its categories and relative subjects. A tool for Korean Traditional Knowledge Resource Classification(KTKRC) was developed for putting the data of the resources in order, and was indispensable for searching for and examining cultural artifacts within the system of international intellectual property rights. KTKRC covers comprehensively our various traditional knowledge resources and has a similar structure to IPC for international searching, examining, and information exchange. KTKRC consists of a section of traditional knowledge(A), and three subsections: production technology(A0), living technology(A2) and creative technology(A4). The subsections include 8 classes, 28 subclasses, 105 groups, and a great number of subgroups.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.14 no.2
• /
• pp.27-42
• /
• 1989

REA (Restricted Entity Aspect) model is a knowledge representation model to classify the aspect type, the EA model component, into five aspects (IS-A-aspect, A-PART-OF aspect, attribute aspect, role aspect, and operation aspect). EATPS, the knowledge representation system, consists of user interface module, knowledge creation module, instance management module, schema management module, and integrity checking module. EATPS creates and manages interactively REA model based knowledge base. This paper shows the structure and functions of EATPS, the design and interactive construction of the knowledge definition language EAKDL, the functions and algorithm of class creation module, and the functions and algorithm of instance creation module to include inheritance inference mechanism.

• The Transactions of the Korea Information Processing Society
• /
• v.5 no.8
• /
• pp.2075-2082
• /
• 1998

Rule-based knowledge representHtion is, the most popular technique for ,storage and manipulation of domain knowledge in expert system. By the way, the amount of knowledge increases more and more in this representatiun technique, it, relationship becomes complex, and even its contents can be modified. This is the reason why rule-based knowledge representation technique requires a verification ,system which can maintain consistency and completeness of knowledge base. This paper is to propose a verification system for consistency and completeness of knowledge base to promote the efficiency and reliability of expert system. After verifying the potential errors both in structure and in semantics whenever a new rule is added, this system renders knowledge base consistent and complete by correcting them automatically or by making expert correct them if it fails.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.13 no.7
• /
• pp.3733-3755
• /
• 2019

E-cash has its merits comparing with other payment modes. However, there are two problems, which are how to achieve practical/complete tracing and how to achieve it in compact E-cash. First, the bank and the TTP (i.e., trusted third party) have different duties and powers in the reality. Therefore, double-spending tracing is bank's task, while unconditional tracing is TTP's task. In addition, it is desirable to provide lost-coin tracing before they are spent by anyone else. Second, compact E-cash is an efficient scheme, but tracing the coins from double-spender without TTP results in poor efficiency. To solve the problems, we present a compact E-cash scheme. For this purpose, we design an embedded structure of knowledge proof based on a new pseudorandom function and improve the computation complexity from O(k) to O(1). Double-spending tracing needs leaking dishonest users' secret knowledge, but preserving the anonymity of honest users needs zero-knowledge property, and our special knowledge proof achieves it with complete proofs. Moreover, the design is also useful for other applications, where both keeping zero-knowledge and leaking information are necessary.

• The Journal of Information Systems
• /
• v.29 no.4
• /
• pp.77-99
• /
• 2020

Purpose The purpose of this study is to investigate the effect of two-way communication and knowledge sharing on the task performance of employees in the interdependent task structure in organizations. Based on the theories of social interdependence and organizational commitment, this study hypothesized the effects of task interdependency and emotional commitment on two-way communication and knowledge sharing, followed by the effects of these variables on the task performance of employees. Design/methodology/approach Survey results show that task interdependence and emotional commitment have positive effects on the degree of two-way communication and knowledge sharing. Two-way communication also has a positive impact on knowledge sharing, and knowledge sharing also improved the task performance of members. However, the relationship between two-way communication and task performance shows no significant impact. Findings Theoretically, this study is meaningful in that the process of task interdependence in relation to emotional commitment leading to task performance is theorized. In practice, this research suggests it is important to improve employees' two-way communication and knowledge sharing in order to lead to increase task performance in the interdependent task environment.

• Child Health Nursing Research
• /
• v.29 no.1
• /
• pp.72-83
• /
• 2023

Purpose: North Korean refugee women struggle with the double burden of adaptation and parenting as mothers in a new environment. This study aimed to identify the knowledge, confidence, and educational needs regarding newborn care among North Korean refugees, and to determine differences between these variables according to participants' characteristics. Methods: Data were collected from September to October 2022, and 150 North Korean refugee women recruited using convenience sampling participated in the study. Descriptive statistics, the t-test, analysis of variance, and Pearson correlation analysis were used for data analysis. Results: The mean scores were as follows: parenting knowledge, 14.97 out of 25; infection prevention knowledge and confidence, 20.09 out of 33 and 51.37 out of 80, respectively; and educational needs, 245.86 out of 310. Significant differences were observed in newborn care, knowledge, and confidence according to maternal age, educational level, family structure, and pregnancy history. Significant positive correlations were observed between the participants' newborn care knowledge, confidence, and educational needs. Conclusion: Personalized educational programs should be implemented to enhance North Korean refugee women's confidence in newborn care, focusing on areas with low knowledge levels and high educational needs and enabling women to achieve healthy pregnancy and childbirth, and to parent well.

• Journal of the Korean earth science society
• /
• v.37 no.5
• /
• pp.309-322
• /
• 2016

This paper presents an analytical framework of Conceptual Understandings of Earth Systems (CUES) that shows a relationship between disciplinary knowledge of Earth systems and the specific thinking skills required to understand that knowledge. This framework is developed through an extensive literature review of students' and teachers' understandings of earth systems concepts and systems thinking in earth science context. This study first presents the categories of disciplinary knowledge of Earth systems, Earth System Knowledge (ESK). This study then illustrates a relationship between categories of ESK and the ontological categories (Matter, Process, Systems) that has been used to study students' conceptual understandings of Earth systems. Finally, this study presents the CUES framework to show the relationship between disciplinary knowledge and thinking skills. The implications of using this framework for curriculum development, assessment, and teacher education and ESS research are discussed.

• Journal of Information Processing Systems
• /
• v.11 no.2
• /
• pp.184-204
• /
• 2015

Fuzzy Formal Concept Analysis (FCA) is a mathematical tool for the effective representation of imprecise and vague knowledge. However, with a large number of formal concepts from a fuzzy context, the task of knowledge representation becomes complex. Hence, knowledge reduction is an important issue in FCA with a fuzzy setting. The purpose of this current study is to address this issue by proposing a method that computes the corresponding crisp order for the fuzzy relation in a given fuzzy formal context. The obtained formal context using the proposed method provides a fewer number of concepts when compared to original fuzzy context. The resultant lattice structure is a reduced form of its corresponding fuzzy concept lattice and preserves the specialized and generalized concepts, as well as stability. This study also shows a step-by-step demonstration of the proposed method and its application.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2004.10a
• /
• pp.1202-1206
• /
• 2004

In the future, a machine-tool will be more improved in the form of a knowledge evolution based device. In order to develop the knowledge evolution based machine-tool, this paper proposes the structure of knowledge evolution and the scheme of a dialogue agent among agent-based modules such as a sensory module, a dialogue module, and an expert system. The dialogue agent has a role of interfacing with another machine for cooperation. To design of the dialogue agent module in M2M(Machine To Machine) environment, FIPA-OS and ping agent based on FIPA-OS are analyzed in this study. Through this, it is expected that the dialogue agent module can be more efficiently designed and the knowledge evolution based machine-tool can be hereafter more easily implemented.

• Asia pacific journal of information systems
• /
• v.14 no.2
• /
• pp.115-130
• /
• 2004

This paper proposes how to build an expert profile database in KMS, which provides the information of expertise that each expert possesses in the organization. To manage tacit knowledge in a knowledge management system, recent researches in this field have shown that it is more applicable in many ways to provide expert search mechanisms in KMS to pinpoint experts in the organizations with searched expertise so that users can contact them for help. In this paper, we develop a framework to automate expert classification using a text categorization technique called Vector Space Model, through which an expert database composed of all the compiled profile information is built. This approach minimizes the maintenance cost of manual expert profiling while eliminating the possibility of incorrectness and obsolescence resulted from subjective manual processing. Also, we define the structure of expertise so that we can implement the expert classification framework to build an expert database in KMS. The developed prototype system, "Knowledge Portal for Researchers in Science and Technology," is introduced to show the applicability of the proposed framework.