• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.1
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• pp.91-103
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• 2010

This paper introduces efficient rule-based semantic search techniques to ontology-based knowledge commerce services. Primarily, the search techniques presented in this paper define rules of reasoning that are required for users to search using the concept of ontology, multiple characteristics, relations among concepts and data type. In addition, based on the defined rules, the rule-based reasoning techniques search ontology for knowledge commerce services. This paper explains the conversion rules of query which convert user's query language into semantic search words, and transitivity rules which enable users to search related tags, knowledge products and users. Rule-based sematic search techniques are also presented; these techniques comprise knowledge search modules that search ontology using validity examination of queries, query conversion modules for standardization and expansion of search words and rule-based reasoning. The techniques described in this paper can be applied to sematic knowledge search systems using tags, since transitivity reasoning, which uses tags, knowledge products, and relations among people, is possible. In addition, as related users can be searched using related tags, the techniques can also be employed to establish collaboration models or semantic communities.

• The Journal of the Korea Contents Association
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• v.5 no.6
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• pp.209-222
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• 2005

This study is intended to arrange the situation of Chuncheon Animation Industry which is applied as a keyword for Regional balanced development system and Regional specialized Industry promotion policy and estimate the appropriateness as Regional specialized industry and possibility of comparative superiority over other regions. This study is intended to look the trial and error of Chuncheon Animation Industry which has been promoted for 10 years and suggest the method to establish new regional industry promotion strategy based on 'innovation' and apply it effectively. Therefore, I intend that in order to establish a new paradigm of animation industry, the industrial appropriateness of animation in changed New Knowledge Based Society is inspected and then the strategy is made. Moreover, in the point of leading position of regional animation, the basis and function of New Knowledge Based Society of Gangwon-province and Chuncheon are thought. In conclusion, the problems and solution of Chuncheon Animation Industry are explored.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.479-482
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• 2001

Construction industry included speciality compare with others industry. Systemically approach and enterprise cultural approach is required in order to perform Knowledge Management in construction industry. But, most of construction enterprise immersed in system approach to perform Knowledge Management, in this reason caused failure of Knowledge Management. To resolve the structural contradiction, Learning organization based the Community of Practice(CoP) is studied in this paper.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.403-408
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• 2005

Being in a knowledge-based industry, many construction organizations are seeking to manage their own knowledge in an effective way. To manage knowledge, the organizations must motivate in-house people to share their knowledge. However, some barriers to knowledge sharing do exist and researches on these barriers considering construction organizations' characteristics seem rare. This study aims to identify key barriers to knowledge sharing considering the characteristics of construction organizations. Based on the identification, strategic responses to each key barrier are presented in two perspectives of technical and behavioral approach to activate knowledge sharing.

• Journal of Korea Technology Innovation Society
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• v.4 no.1
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• pp.64-78
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• 2001

The 21st century is characterized by knowledge-based economy or society. The most important features of this knowledge society are the close relationship between science and technology, and the birth of science-based technologies or industries. Bioindustry which is the core area in this era is a representative science-based industry(SBI). In SBIs including BT(biotechnology) and ICT(information and communication technology), the creation of scientific knowledge and the ability to capitalize on that are very important. The United States leadership in research across the spectrum of science and technology is the result of the success in both achieving high level of research and capitalizing on that enabled them to grow. Capitalization is the process that transforms the results of research into practical concrete national benefits. It is such a dynamic process that cant be clearly modeled. In this study, we propose the dynamic capitalization process for innovation of SBIs in terms of the fuel and engine and analyse our potential.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.10
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• pp.808-816
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• 2013

In recent years, the knowledge service industry is getting much attention in terms of the role as new growth driver and employment creation sector whereas the overall potential growth rate in Korea has been slowed due to reduced investment and employment in manufacturing sector. This study examines how the knowledge service industry contributes to economic development and employment creation by analyzing the structure transition pattern of the knowledge service industry from 1995 to 2010 and suggests, based on these results, some policy implications for the industry's development. It turns out that the knowledge service industry greatly contributes to total production increase and employment creation during the period of 1995 to 2010. Special strategy for increase in labor productivity will be required for the knowledge service industry to contribute consistently as growth driver and employment creation sector since production increase rate and growth contribution level have been gradually decreased while employment growth rate and its contribution level have been consistently increased in the knowledge service industry.

• Knowledge Management Research
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• v.10 no.3
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• pp.1-16
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• 2009

Recent trends in business are characterized by recognition of the importance of knowledge assets. Especially, this phenomenon is receiving more momentum as our society goes digital rapidly. The concept of Knowledge Management has long been used as an effective way of restructuring the management process of a firm. In literature regarding knowledge management, a number of successful cases were reported, where knowledge-based management activities could dramatically enhance a firm's strategic performance for years. However, there exists very little research investigating the effect of knowledge management on corporate competitiveness. Researchers as well as practitioners need more rigorous results about such issues, especially how much the knowledge management strategic initiatives may have an influence on the firm's competitiveness. In this sense, we need an empirical study adopting statistical approaches due to the existence of abundant knowledge management case studies. To fill this research void, this study proposes a research model testing whether knowledge management activities could improve corporate competitiveness. We collected 321 valid questionnaires from participants in knowledge management activities in the tourism industry and applied a structural equation model. Empirical results showed that knowledge management activities have a positive impact on knowledge management efficiency and finally corporate competitiveness. We hope that this study will shed light on further rigorous studies considering tourism industry as a major strategic activity.

• Proceedings of the CALSEC Conference
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• 2003.09a
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• pp.197-203
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• 2003

The purpose of the study is to develop an integrated knowledge structuring system for the domain of engineering, in which ontology-based literature mining, knowledge acquisition, knowledge integration, and knowledge retrieval are combined using XML-based tag information and ontology management. The system supports combining 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 and knowledge retrieval from documents through an ontology-based dynamic similarity calculation and a visualization of automatically structured knowledge. Through experimentations we conducted using 100,000 words economic documents reported in the "Go！ Japan" project for analyzing Japanese industrial situation, and 100,000 words molecular biology Papers, we show the system is Practical enough for accelerating knowledge acquisition and knowledge discovery from the information sea.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.121-122
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• 2017

In this study, the economic ripple effect of knowledge service industry were compared and analyzed in four countries of USA, UK, Japan and Korea. The production induction coefficient is the largest in Japan, followed by the United Kingdom, the United States, and Korea. On the other hand, the employment inducement coefficient of the knowledge service industry was the highest in all countries except the UK. This implies that the proportion of employment is significantly increased compared to other industries as the role and importance of knowledge service industry increases in the economic and social structure on which knowledge is based.

• Knowledge Management Research
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• v.7 no.2
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• pp.53-68
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• 2006

Knowledge has become an important resource for organization. The manufacturing industry is usually operated on the basis of business processes, and most workers are familiar with their own processes. The process-based approach, therefore, can provide an efficient way to capture and navigate knowledge. In this study, we focus on knowledge which may be missed during knowledge transfer among workers. For this, we propose a method for analyzing knowledge flow, which is passed among business processes. We propose a process-based knowledge management framework for analyzing knowledge flow, which employs a two-phase analysis: process analysis and knowledge flow analysis. A knowledge flow model, represented by Knowledge Flow Diagram, is proposed as a tool for representing knowledge. We formulate several semantics for knowledge flow modeling. We build the three-level schema: conceptual, logical, and physical in order to automate the knowledge model adaptive to knowledge management systems. The proposed approach is verified and illustrated through a case study on the manufacturing process of A Company.