Journal of Korean Library and Information Science Society
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v.46
no.1
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pp.203-239
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2015
This research aims to present an archive on the management knowledge information resources of Student Independent Movement under the rule of Japanese Imperialism in a viewpoint document information and archives. This study consists of two aspects : a document investigation based on Student Independent Movement and knowledge information resource and in a practical examine based on the first departure of SIM, distribution of knowledge information resources, and their management. They are produced a various of document knowledge information and was formed knowledge information resource management and archives in a library, a newspaper office, Independence Hall, Nation Archives of Korea, and school media center. The result of this research was looked forward to help to R&D of knowledge information resource management in values and competencies for Student Independent Movement.
Journal of the Economic Geographical Society of Korea
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v.11
no.3
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pp.273-301
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2008
This study aims not only to examine the globalization, imformationization, and networking as background of knowledge-information-based society, but also to clarify the research fields of 'geography of knowledge' and further research themes for economic geography in a knowledge-information-based society. As a result of globalization, the degree of regional disparity, which had decreased with neoliberal policy in Europe and America in 1980's, has increased in early development states such as China and Eastern European countries. In opposition to the globalization that has led to increasing regional disparities at a global scale, many scholars argue that grassroots globalization or globalization from below is needed. Based on a pessimistic view on globalization, many maintain that unequal access to information has enlarged the gap between rich and poor. They also argue that the study of the geography of poverty is crucial in oder to solve the problem of bipolization. According to the world system theory, spatial grasp of commodity chains, actors' diversities, flows towards innovation in learning knowledges, and geographical, organizational, and institutional proximities are intertwined. Because these elements make significant influences each other in social networks, the interrelationships among those elements should be carefully considered. A 'geography of knowledge' deals with manufacturing, finance and service, media, cultural, and creative industries. Former researches in economic geography have tended to deal with those industries separately without attempting to make meaningful linkages among discussions on those industries.
Proceedings of the Korea Society of Information Technology Applications Conference
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2005.11a
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pp.343-351
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2005
It will not be impossible to develop an Information Systems and Information Technologies (IS/IT) program and a curriculum that represents the true needs of the IS/IT industry until IS/IT educator, reduce the gap perception and IS/IT practitioner's perception of IS/IT knowledge and technical skills that the industry might need. This paper represents and analysis of perceptions about IS/IT knowledge and skills that IS/IT practitioners might consider important. This study is based in Korean. The findings give us a very important lesson for IS/IT academicians that their understanding about the required knowledge and skills for the IS/IT career is not in line with that of IS/IT industry. Classifies the critical knowledge/skill set according to content or domain of knowledge by means of a survey. This is conducted in accordance with what IS/IT practitioners and educators can easily relate. The survey uses this approach and includes four broad categories of critical information Systems and Information technologies (IS/IT) knowledge/skills: IS/IT technology knowledge/skills, organizational and societal knowledge/skills, interpersonal knowledge/skills, and personal trait knowledge/skills.
The purpose of this study is to investigate the relationship between knowledge sharing and academic performance in the context of quality-assurance related work. It furthermore aims to explore the role of information technology in mediating this relationship. Quantitative method was applied to collect data from the participants using an online-based questionnaire. Convenience sampling technique was used. The responses were collected from 140 participants in a university from Saudi Arabia. The study found a strong positive relationship between knowledge sharing and individual performance. It was also found out that information technology partially mediates the relationship between knowledge sharing and individual performance. The research unearths the significant contribution made by information technology in mediating the relationship between individual-level knowledge sharing and the individual performance. This helps to understand the positive impacts on individual work performance in institutions of higher education that would be derived if individuals use various forms of IT to share knowledge. The focus of the research is the individual performance as the pertinent contribution towards positive outcomes in institutional performance.
We devise a layer-wise hint training method to improve the existing hint-based knowledge distillation (KD) training approach, which is employed for knowledge transfer in a teacher-student framework using a residual network (ResNet). To achieve this objective, the proposed method first iteratively trains the student ResNet and incrementally employs hint-based information extracted from the pretrained teacher ResNet containing several hint and guided layers. Next, typical softening factor-based KD training is performed using the previously estimated hint-based information. We compare the recognition accuracy of the proposed approach with that of KD training without hints, hint-based KD training, and ResNet-based layer-wise pretraining using reliable datasets, including CIFAR-10, CIFAR-100, and MNIST. When using the selected multiple hint-based information items and their layer-wise transfer in the proposed method, the trained student ResNet more accurately reflects the pretrained teacher ResNet's rich information than the baseline training methods, for all the benchmark datasets we consider in this study.
Knowledge map is widely used to represent knowledge in many domains. This paper presents a method of integrating the national R&D data and assists of users to navigate the integrated data via using a knowledge map service. The knowledge map service is built by using a lightweight ontology and a topic modeling method. The national R&D data is integrated with the research project as its center, i.e., the other R&D data such as research papers, patents, and reports are connected with the research project as its outputs. The lightweight ontology is used to represent the simple relationships between the integrated data such as project-outputs relationships, document-author relationships, and document-topic relationships. Knowledge map enables us to infer further relationships such as co-author and co-topic relationships. To extract the relationships between the integrated data, a Relational Data-to-Triples transformer is implemented. Also, a topic modeling approach is introduced to extract the document-topic relationships. A triple store is used to manage and process the ontology data while preserving the network characteristics of knowledge map service. Knowledge map can be divided into two types: one is a knowledge map used in the area of knowledge management to store, manage and process the organizations' data as knowledge, the other is a knowledge map for analyzing and representing knowledge extracted from the science & technology documents. This research focuses on the latter one. In this research, a knowledge map service is introduced for integrating the national R&D data obtained from National Digital Science Library (NDSL) and National Science & Technology Information Service (NTIS), which are two major repository and service of national R&D data servicing in Korea. A lightweight ontology is used to design and build a knowledge map. Using the lightweight ontology enables us to represent and process knowledge as a simple network and it fits in with the knowledge navigation and visualization characteristics of the knowledge map. The lightweight ontology is used to represent the entities and their relationships in the knowledge maps, and an ontology repository is created to store and process the ontology. In the ontologies, researchers are implicitly connected by the national R&D data as the author relationships and the performer relationships. A knowledge map for displaying researchers' network is created, and the researchers' network is created by the co-authoring relationships of the national R&D documents and the co-participation relationships of the national R&D projects. To sum up, a knowledge map-service system based on topic modeling and ontology is introduced for processing knowledge about the national R&D data such as research projects, papers, patent, project reports, and Global Trends Briefing (GTB) data. The system has goals 1) to integrate the national R&D data obtained from NDSL and NTIS, 2) to provide a semantic & topic based information search on the integrated data, and 3) to provide a knowledge map services based on the semantic analysis and knowledge processing. The S&T information such as research papers, research reports, patents and GTB are daily updated from NDSL, and the R&D projects information including their participants and output information are updated from the NTIS. The S&T information and the national R&D information are obtained and integrated to the integrated database. Knowledge base is constructed by transforming the relational data into triples referencing R&D ontology. In addition, a topic modeling method is employed to extract the relationships between the S&T documents and topic keyword/s representing the documents. The topic modeling approach enables us to extract the relationships and topic keyword/s based on the semantics, not based on the simple keyword/s. Lastly, we show an experiment on the construction of the integrated knowledge base using the lightweight ontology and topic modeling, and the knowledge map services created based on the knowledge base are also introduced.
Proceedings of the Korea Inteligent Information System Society Conference
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2001.01a
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pp.278-282
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2001
The discovery of tacit knowledge from domain experts is one of the most exciting challenges in today\`s knowledge management. The nature of decision knowledge in determining the quality a firm\`s short-term liquidity is full of abstraction, ambiguity, and incompleteness, and presents a typical tacit knowledge extraction problem. In dealing with knowledge discovery of this nature, we propose a scheme that integrates both knowledge elicitation and knowledge discovery in the knowledge engineering processes. The knowledge elicitation component applies the Verbal Protocol Analysis to establish industrial cases as the basic knowledge data set. The knowledge discovery component then applies fuzzy clustering to the data set to build a fuzzy knowledge based system, which consists of a set of fuzzy rules representing the decision knowledge, and membership functions of each decision factor for verifying linguistic expression in the rules. The experimental results confirm that the proposed scheme can effectively discover the expert\`s tacit knowledge, and works as a feedback mechanism for human experts to fine-tune the conversion processes of converting tacit knowledge into implicit knowledge.
Recently the paradigm of business management has changed. The businesses have restored to ERP or BPR to integrate their information system. But now they are trying to find out a new competitiveness in tacit knowledge of individuals. The creative company has come to put much weigh on the value of their employee′s "non-patternized" knowledge. And this trend has seen a development into a theory of knowledge management in which "non-patternized" knowledge, along with explicit knowledge, is also considered as a source of competitiveness. With the hypothesis that the recognition of the knowledge management and the utilization of the information technology will have influence on the integration of the integrating the information system information system into a new phase, this study carries out a research on the effects of knowledge management and information technology on management achievement. According to this study the distribution of knowledge has an effect on the integration of information system and management achievement. The asset of knowledge, however, has little effect on them. This means that the recognition of the asset of knowledge alone can't affect the management achievement, but when combined with the recognition of the distribution of knowledge, it can have influence on the management achievement. Thus, a company has to enhance the recognition of the distribution of knowledge. And with this, a company can have a business management based on management achievement and the integration of information system utilizing information technology and the recognition of knowledge management. A company has to promote it business achievement by integrating the information system utilizing information technology and recognizing knowledge management.
This case study shows constructing the knowledge-based system using a rule-based approach for detecting illegal transactions regarding money laundering in the Korea Financial Intelligence Unit (KoFIU). To better manage the explosive increment of low risk suspicious transactions reporting from financial institutions, the adoption of a knowledge-based system in the KoFIU is essential. Also since different types of information from various organizations are converged into the KoFIU, constructing a knowledge-based system for practical use and data management regarding money laundering is definitely required. The success of the financial information system largely depends on how well we can build the knowledge-base for the context. Therefore we designed and constructed the knowledge-based system for anti-money laundering by committing domain experts of each specific financial industry co-worked with a knowledge engineer. The outcome of the knowledge base implementation, measured by the empirical ratio of Suspicious Transaction Reports (STRs) reported to law enforcements, shows that the knowledge-based system is filtering STRs in the primary analysis step efficiently, and so has made great contribution to improve efficiency and effectiveness of the analysis process. It can be said that establishing the foundation of the knowledge base under the entire framework of the knowledge-based system for consideration of knowledge creation and management is indeed valuable.
Continual attempt to accumulate and apply information eventually gives birth to the concept of the 'Semantic Web'. Thus, the 'Semantic Web' can be defined as a product of mankind's desire to standardize information. A term of knowledge is used as information or data in computer science. These are regarded and are divided sometimes each other in terminologies that have similar meaning. If it is divided, knowledge is different from information. However, some kind of information in Knowledge Representation is called knowledge often if it can be expressed in computing system. Therefore, knowledge representation can talk as information representation. The purpose of the study is systematizing knowledge through knowledge representation that uses Delphi technique and ontology is designed by utilizing assistance editor called protege-2000 to construct semantic web environment's ontology. Level of interest regarding the construction and evaluation of search systems based on ontology is set to increase. If defined well, semantic can reflect human's thinking to knowledge information on web. Furthermore systematizes knowledge, search of information and comprehension about Jeju tour using present computer may be done intelligence.
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