• Journal of Intelligence and Information Systems
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• v.27 no.4
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• pp.49-71
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• 2021

Users who intend to utilize knowledge to actively solve given problems proceed their jobs with cross- and sequential exploration of associated knowledge related each other in terms of certain criteria, such as content relevance. A knowledge map is the diagram or taxonomy overviewing status of currently managed knowledge in a knowledge-base, and supports users' knowledge exploration based on certain relationships between knowledge. A knowledge map, therefore, must be expressed in a networked form by linking related knowledge based on certain types of relationships, and should be implemented by deploying proper technologies or tools specialized in defining and inferring them. To meet this end, this study suggests a methodology for developing the knowledge graph-based knowledge map using the Graph DB known to exhibit proper functionality in expressing and inferring relationships between entities and their relationships stored in a knowledge-base. Procedures of the proposed methodology are modeling graph data, creating nodes, properties, relationships, and composing knowledge networks by combining identified links between knowledge. Among various Graph DBs, the Neo4j is used in this study for its high credibility and applicability through wide and various application cases. To examine the validity of the proposed methodology, a knowledge graph-based knowledge map is implemented deploying the Graph DB, and a performance comparison test is performed, by applying previous research's data to check whether this study's knowledge map can yield the same level of performance as the previous one did. Previous research's case is concerned with building a process-based knowledge map using the ontology technology, which identifies links between related knowledge based on the sequences of tasks producing or being activated by knowledge. In other words, since a task not only is activated by knowledge as an input but also produces knowledge as an output, input and output knowledge are linked as a flow by the task. Also since a business process is composed of affiliated tasks to fulfill the purpose of the process, the knowledge networks within a business process can be concluded by the sequences of the tasks composing the process. Therefore, using the Neo4j, considered process, task, and knowledge as well as the relationships among them are defined as nodes and relationships so that knowledge links can be identified based on the sequences of tasks. The resultant knowledge network by aggregating identified knowledge links is the knowledge map equipping functionality as a knowledge graph, and therefore its performance needs to be tested whether it meets the level of previous research's validation results. The performance test examines two aspects, the correctness of knowledge links and the possibility of inferring new types of knowledge: the former is examined using 7 questions, and the latter is checked by extracting two new-typed knowledge. As a result, the knowledge map constructed through the proposed methodology has showed the same level of performance as the previous one, and processed knowledge definition as well as knowledge relationship inference in a more efficient manner. Furthermore, comparing to the previous research's ontology-based approach, this study's Graph DB-based approach has also showed more beneficial functionality in intensively managing only the knowledge of interest, dynamically defining knowledge and relationships by reflecting various meanings from situations to purposes, agilely inferring knowledge and relationships through Cypher-based query, and easily creating a new relationship by aggregating existing ones, etc. This study's artifacts can be applied to implement the user-friendly function of knowledge exploration reflecting user's cognitive process toward associated knowledge, and can further underpin the development of an intelligent knowledge-base expanding autonomously through the discovery of new knowledge and their relationships by inference. This study, moreover than these, has an instant effect on implementing the networked knowledge map essential to satisfying contemporary users eagerly excavating the way to find proper knowledge to use.

• Korean Journal of Culture and Social Issue
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• v.14 no.1_spc
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• pp.167-186
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• 2008

This study is to investigate, from the perspective of implicit theory, what elements influence children's motivation to learn and how their configurations are different according to different sexes. One analysis was based on answers to a motivation questionnaire by fourth to sixth graders from four different cities in South Korea. The subjects children were most highly motivated to learn were math and science for boys, and math and English for girls, respectively. Factors influencing the motivation were near 30 in number, including later happier life, joy of learning, parental rewards, pleasure of being informed, and meeting parental expectations, among others. Another analysis was an exploratory and confirmative factor analysis on motivation to learn among 856 fourth to sixth graders randomly sampled from 7 different cities all over South Korea. Factors revealed to contribute to the motivated learning here were five factors of utility, interest, recognition, knowledge acquisition(being informed), and expectancy sufficiency. There were some differences in the structure of factors between sexes; importance was given to five factors of utility, interest, recognition, knowledge acquisition, and expectancy sufficiency in descending order for boys, and six factors of interest, utility, rewards, recognition, expectancy sufficiency, and competition for girls.

• Journal of Gifted/Talented Education
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• v.11 no.3
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• pp.45-68
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• 2001

The Gifted need the constructivist loaming environments that reflect his or her cognitive and affective characteristics and needs to exert their potential fully. 'Structural Communication'was designed to encourage creative thinking in learners, allowing them to create an understanding of a topic, not simply memorize facts. It is considered in line with constructivist philosophy and cognitive paradigms. The major purpose of this study is to explore 'Web-Based Structural Communication'program to embody the collaborative loaming based on constructivism. It was applied on high school $2\times2$ matrix teaming for the gifted students. Recently developed computer technology, emerging network facilities, and internet enable us to extend the usefulness and efficiency of 'Structural Communication’Especially web provides not only the discussion environment that is free from space and time constraints and characteristics of leasers, but also the experiences of knowledge construction through the collaborative learning. Through the 'Web-based Structural Communication', the gifted will be able to argue, persuade and share their unique ideas and gradually elaborated ill-structured ideas. The gifted will escape from the tunnel vision of the early time and have multiple perspectives that are more objective and logical. As the result, the gifted are expected to acquire the effect of 'the Zone of Proximal Development'that Vygotsky advocated.

• Journal of Korea Multimedia Society
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• v.15 no.4
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• pp.552-559
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• 2012

Operating Systems is a discipline which handles complex and concepts related to its components and how an operating system works. However, most of the OS courses have been textbook-oriented theoretical classes. Therefore, many instructors have tried to make use of educational tools to help students understand a lecture and arouse their interests consistently. This paper describes the design and implementation of a web-based page replacement simulator which shows the process of page replacement algorithms visually. The academic achievement evaluation and t-test results for 2010's students and 2011's show that the differences of the correct answer ratios for the exam about page replacement algorithms and the scores between two groups are meaningful. And the results of survey show that a page replacement simulator is useful as an educational tool which causes the interests about operating systems and enhances the understanding of a lecture.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.129-131
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• 2015

정보 사회는 컴퓨터 과학이 실생활 뿐 아니라 모든 학문 분야의 기반이 되는 사회이다. 자원이 부족한 우리나라는 핵심 학문 분야의 인재 양성이 국가 경쟁력을 강화할 수 있는 원동력이 되기 때문에 컴퓨터 과학 분야의 인재를 양성하기 위한 정보 교육의 중요성이 더욱 커지고 있다. 이러한 일환으로 2015 개정 교육과정에서는 정보 교육을 필수화하였고 어떻게 가르칠 것인가에 대한 많은 연구가 진행되고 있다. 교과서는 학습자의 가장 기본적인 학습 도구가 되는 것으로 어떤 지식을 어떻게 가르칠 것인가를 포함하고 있기 때문에 그 구성은 매우 중요하다. 따라서 본 연구에서는 컴퓨터 과학을 인력 양성을 위한 중요한 학문으로 인식하고 정보 교육의 활성화를 추진하여 실천하고 있는 영국의 교과서를 분석하고 우리나라에 주는 시사점을 제시하였다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.16 no.3
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• pp.1-6
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• 2002

The purpose of this study was to develop an exterior lighting design database system for building lighting design. This database system has been designed to work internet web service as a design tool for architect and architecture student who are not profession of lighting design. In this study, exterior lighting database system has been accumulated with rendering image of each building from and lighting projector placement.

• Korean Journal of Health Education and Promotion
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• v.26 no.5
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• pp.41-55
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• 2009

Objective: This study explores the level of knowledge and attitude towards HIV/AIDS and the relationship between knowledge and attitude among social workers and nurses working in the public sector in Gwangju, S. Korea. Methods: The sample was composed of 121 nurse and 124 social workers. For the purpose of this research participants completed a questionnaire designed to assess their knowledge and attitudes about HIV/AIDS. The data was collected between December 2008 and January 2009. All data was analyzed using SPSS WIN version 12.0 for technical statistics. t-Test, ANOVA and multiple regression analysis was employed. Results: First, the result of this research showed that the level of participants knowledge on HIV/AIDS was 85.9%. The nurses score was significantly higher than social workers on knowledge. Second, the outcome also showed that nurses generally had a more positive attitude about HIV/AIDS patients than social workers but it was not significant. Third, participant's attitudes towards HIV/AIDS was significantly influenced by the level of knowledge and previous education about HIV/AIDS. Fourth, the results also showed that knowledge on HIV/AIDS is the most important influencing factor towards the participants attitude. Conclusion: This result has important implications for future education programs designed for health care professionals including nurses and social workers. Given the importances of the role of public officers as practitioners and policy makers on HIV/AIDS, the education program should not only focus on lectures but also include a sharing of practical experience and knowledge.

• Journal of the Korean earth science society
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• v.41 no.2
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• pp.147-154
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• 2020

The purpose of this study was to analyze epistemological beliefs in science as perceived by elementary school students and to examine the purpose of science, the nature of scientific knowledge, the source of scientific knowledge, and the role of experimentation. The subjects of this study were 99 elementary school students. As a tool for examining epistemological beliefs in science, we used adapted questionnaires comprising elements constituting epistemological beliefs, as proposed by Elder (1999). The results of the analysis are as follows: First, in terms of the purpose of science, sixth graders had the most modern beliefs compared to other grades. Second, a statistical significance was found between fourth graders and students in other grades based on the analysis of the nature of scientific knowledge. Third, there was no significant difference in each grade's beliefs concerning the source of scientific knowledge or the role of the experiment.

• The KIPS Transactions:PartB
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• v.17B no.2
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• pp.125-138
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• 2010

The purpose of this research is to enhance document recognition system which is essential for developing full-text retrieval system of the document image data stored in the digital library of a public institution. To achieve this purpose, the main tasks of this research are: 1) analyzing the document image data and then developing its image preprocessing technology and document structure analysis one, 2) building its specialized knowledge base consisting of document layout and property, character model and word dictionary, respectively. In addition, developing the management tool of this knowledge base, the document recognition system is able to handle the various types of the document image data. Currently, we developed the prototype system of document recognition which is combined with the specialized knowledge base and the library of document structure analysis, respectively, adapted for the document image data housed in National Archives of Korea. With the results of this research, we plan to build up the test-bed and estimate the performance of document recognition system to maximize the utilization of full-text retrieval system.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.26 no.1
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• pp.217-231
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• 2015

This study aims to infer the gene-protein 'brings_about' chains of pancreatic cancer which were referred to in the pancreatic cancer related researches by constructing the gene-protein interaction network of pancreatic cancer. The chains can help us uncover publicly unknown knowledge that would develop as empirical studies for investigating the cause of pancreatic cancer. In this study, we applied a novel approach that grafts text mining and the main path analysis into Swanson's ABC model for expanding intermediate concepts to multi-levels and extracting the most significant path. We carried out text mining analysis on the full texts of the pancreatic cancer research papers published during the last ten-year period and extracted the gene-protein entities and relations. The 'brings_about' network was established with bio relations represented by bio verbs. We also applied main path analysis to the network. We found the main direct 'brings_about' path of pancreatic cancer which includes 14 nodes and 13 arcs. 9 arcs were confirmed as the actual relations emerged on the related researches while the other 4 arcs were arisen in the network transformation process for main path analysis. We believe that our approach to combining text mining analysis with main path analysis can be a useful tool for inferring undiscovered knowledge in the situation where either a starting or an ending point is unknown.