• Journal of Information Processing Systems
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• v.5 no.3
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• pp.159-166
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• 2009

As shown in Wikipedia, tagging or cross-linking through major keywords in a document collection improves not only the readability of documents but also responsive and adaptive navigation among related documents. In recent years, the Semantic Web has increased the importance of social tagging as a key feature of the Web 2.0 and, as its crucial phenotype, Tag Cloud has emerged to the public. In this paper we provide an efficient method of automated in-text keyword tagging based on large-scale controlled term collection or keyword dictionary, where the computational complexity of O(mN) - if a pattern matching algorithm is used - can be reduced to O(mlogN) - if an Information Retrieval technique is adopted - while m is the length of target document and N is the total number of candidate terms to be tagged. The result shows that automatic in-text tagging with keywords filtered by Information Retrieval speeds up to about 6 $\sim$ 40 times compared with the fastest pattern matching algorithm.

• Journal of Korean Society for Quality Management
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• v.38 no.3
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• pp.294-312
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• 2010

Data Technology (DT) is a new technology which deals with data collection, data analysis, information generation from data, knowledge generation from modelling and future prediction. DT is a newly emerged interdisciplinary science & technology in this 21st century knowledge society. Even though the main body of DT is applied statistics, it also contains management information system (MIS), quality management, process system analysis and so on. Therefore, it is an interdisciplinary science and technology of statistics, management science, industrial engineering, computer science and social science. In this paper, first of all, the definition of DT is given, and then the effects and the basic properties of DT, the differences between IT and DT, the 6 step process for DT application, and a DT example are provided. Finally, the relationship among DT, e-Statistics and Data Mining is explained, and the direction of DT development is proposed.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1996.06c
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• pp.615-620
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• 1996

• The Journal of Industrial Distribution & Business
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• v.9 no.11
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• pp.77-91
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• 2018

Purpose - In this research, we investigate the relationship between the level of information technology utilization, social capital and knowledge management, organization performance. For information and knowledge management, participants' certain level of information technology utilization is required and connections among participants are necessary for performing and for synergy effects. Research design, data, and methodology - Reflecting on these, we empirically analyze the effects of participant's information technology utilization level and social capital on knowledge management and organization achievement for the case of Incheon International Airport. Questionnaire is distributed to the airport employees and collected 221 samples for analyzing. SPSS and AMOS statistic programs are used for analysis. Factor analysis, Credibility adaptability, path analysis, hypotheses are verified. Results - The study research shows as follow. First, the level of IT utilization does affect social capital but does not affect knowledge management. Second, social capital affects both knowledge management and organization achievement. To investigate more about the relationship between the level of IT utilization and knowledge management, we analyzed the control effects of personal characteristics, and findings are, first, employees with longer time service recognize the importance that the level of IT use and knowledge management affect organization achievement more seriously than employees with shorter time service do. Second, employees with shorter time service and younger employees have relatively lesser social capital and participate in knowledge management passively. Third, higher position employees think that the level of IT utilization affects knowledge management while lower position employees do not. Conclusions - The level of IT utilization affects social capital, and social capital affects knowledge management and organization achievement. These results suggest that the level of IT utilization is very important to both organization and each employee. So providing related training and education opportunities or incentives to induce employees to make efforts for higher level of IT utilization and thus to participate in knowledge management more actively is necessary. The level of IT utilization affects social capital which airport employees lack. The one of study results indicates the importance of social capital and for higher competitiveness of the airport social capital should be increased.

• Proceedings of the Korea Society of Design Studies Conference
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• 2001.10a
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• pp.24.1-24
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• 2001

• Journal of the Korean Society for information Management
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• v.16 no.2
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• pp.165-182
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• 1999

Knowledge and Knowledge Management have emerged as a current 'hot issue' for many organizations. This paper starts by exploring the definition of knowledge and knowledge management. It then analyzes the process of knowledge management and suggests the recommendations for effective knowledge management. Finally, it considers the pahership for knowledge management, and especially how librarians as knowledge professionals, users, and technology experts can contribute to effective knowledge management. These suggestions of the study will be used to implement knowledge management system that can organize, transfer, and share explicit and implicit knowledge.

• Proceedings of the CALSEC Conference
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• 2004.02a
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• pp.107-111
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• 2004

The purpose of the study is to develop an integrated knowledge management system for the domains of genome and nano-technology, in which terminology-based literature mining, knowledge acquisition, knowledge structuring, and knowledge retrieval are combined. The system supports integrating different types of databases (papers and patents, technologies and innovations) and retrieving different types of knowledge simultaneously. The main objective of the system is to facilitate knowledge acquisition from documents and new knowledge discovery through a terminology-based similarity calculation and a visualization of automatically structured knowledge. Implementation issue of the system is also mentioned.

• Journal of the Korea Society of Computer and Information
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• v.24 no.6
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• pp.211-216
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• 2019

Knowledge sharing is safe to say that we have already embarked on knowledge-based global economy where knowledge is a decisive factor in global competition for corporations. So in the age of knowledge-based management, it is how we use knowledge that decides success or failure for corporations and the competitiveness of their countries at large as well. We did this research with the help of those who were working in ICT industry including manufacturing, tourism, and others. In this research, we looked into how project participants, organizational characteristic, and relational characteristic affect knowledge sharing and utilization, and what are the factors that have positive effects on corporate success. And all the factors presented in the research are found to have positive effects on the knowledge sharing and utilization. The factors appeared to have positive effects starting with project at first and then on corporate success at large.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.11
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• pp.2903-2923
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• 2023

Knowledge recommendation is a type of recommendation system that recommends knowledge content to users in order to satisfy their needs. Although using graph neural networks to extract data features is an effective method for solving the recommendation problem, there is information loss when modeling real-world problems because an edge in a graph structure can only be associated with two nodes. Because one super-edge in the hypergraph structure can be connected with several nodes and the effectiveness of knowledge graph for knowledge expression, a dual-channel hypergraph convolutional neural network model (DCHC) based on hypergraph structure and knowledge graph is proposed. The model divides user data and knowledge data into user subhypergraph and knowledge subhypergraph, respectively, and extracts user data features by dual-channel hypergraph convolution and knowledge data features by combining with knowledge graph technology, and finally generates recommendation results based on the obtained user embedding and knowledge embedding. The performance of DCHC model is higher than the comparative model under AUC and F1 evaluation indicators, comparative experiments with the baseline also demonstrate the validity of DCHC model.

• Journal of Korean Society of Archives and Records Management
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• v.1 no.2
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• pp.121-158
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• 2001

Development of R&D Knowledge Management System for Science & Technology Research Institutes, which was initiated early 2001, was introduced. The project, funded by the Ministry of Science and Technology, is being carried out by several R&D institutes in cooperation With implementers. The purposes of the project are: sharing knowledge about on-going research progresses and existing research results, facilitating cooperative efforts among research staff, teams, and institutes, and improving the efficiency of research project administration. The system consists of 4 components that are highly intertwined: Knowledge Portal, Knowledge Repository, Project Administration System and Groupware. This 3-year project will benefit R&D researchers, and R&D project carrying-out institutes and government project administration organization by facilitating research and development activities, and improving management efficiency, respectively.