• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.763-764
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• 2009

정보통신 기술의 발전은 우리의 생활 전반에 걸쳐 빠르게 흡수되며 급속히 진행되고 있다. 특히 교육의 패러다임이 변화됨에 따라 오늘날 인터넷을 기반으로 한 가상교육의 형태는 학생들로 하여금 더 많은 지식 습득 기회를 제공한다. 본 논문에서는 인터넷상의 교육 시스템에서 개인의 정보를 수집하고, 개인별 교육성향을 분석하여 개인별로 적절한 서비스를 제공하기 위한 연구를 하였다. 데이터 마이닝 기법 중 연관규칙과 클러스터링 협업 필터링을 이용하여 학습자의 교육성향을 파악할 수 있다. 이를 마케팅에 적용한다면 학습자의 선호도를 상승시키고 해당 회사에 신뢰도가 높아져 이익을 증가시킬 수 있는 시스템으로 활용될 수 있다.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06b
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• pp.307-310
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• 2011

정보생산량의 폭발적 증가(2008년 4,870억GB에서 2010년 12,000억GB로 62% 증가, 미국 EMC & 스위츠 IMD 기준) 및 각 정보(콘텐츠) 간 연관 지식의 요구 증대는 다양한 디지털 콘텐츠에 대한 효율적인 통합 관리의 필요성을 더욱더 증대시키고 있으며, 또한 더 나은, 그리고 새로운 서비스를 위한 다양한 정보 간 연계에 대한 필요성이 더욱더 요구되고 있다. 본 고(考)에서는 문헌데이터와 시맨틱 데이터에 대한 체계화되고, 표준화되며, 일원화된 정보관리 수행과 두 정보 간 연계를 통한 SMART 서비스를 실현할 수 있도록 디지털 콘텐츠 관리체계를 새로이 설계하고, 이를 구축하였다.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.2
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• pp.65-72
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• 2012

In the 21st century of information systems, the amount of information resources are ever increasing and the role of information searching system is becoming criticalto easily acquire required information from the web. Generally, it requires the user to have enough pre-knowledge and superior capabilities to identify keywords of information to effectively search the web. However, most of the users undertake searching of the information without holding enough pre-knowledge and spend a lot of time associating key words which are related to their required information. Furthermore, many search engines support the keywords searching system but this only provides collection of similar words, and do not provide the user with exact relational search information with the keywords. Therefore this research report proposes a method of offering expanded user relationship search keywords by analyzing user query patterns to provide the user a system, which conveniently support their searching of the information.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.91-97
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• 2018

The plant factory represents one of the future agricultural systems into which ubiquitous information technology (U-IT) is incorporated, including sensor networking, and helps minimize the influence of external experimental factors that constrain the use of existing greenhouse cultivation techniques. A plant factory's automated cultivation system does not merely provide convenience for crop cultivation, but also expandability as a platform that helps build a knowledge database based on its acquired information and develop education and other application services using the database. For the expansion of plant factory services, this study designed a plant factory interworking service (PFIS) which allows plant factories to share crop growth-related information efficiently among them and performed a test on the service and its implementation.

• Information Systems Review
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• v.19 no.3
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• pp.127-154
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• 2017

This study aims to identify various service innovation patterns in the service industry and understand the main differences among them. We attempt to create a new typology of service innovation by analyzing its patterns based on the four major dimensions of service innovation (i.e., service concept, service delivery, customer interaction, and technology). We then investigate whether firms pursuing different service innovation patterns significantly differ from one another in terms of their performance (high and low performance). Based on empirical data collected from 198 Korean firms in the knowledge-intensive business service sector, four major clusters composed of different service innovation dimensions are identified. These four clusters can be interpreted as specific service innovation patterns, including "technology based high customer interaction," "high technology based high service delivery," "service delivery and high customer interaction-integrated," and "strongly balanced" innovators. High firm performance does not depend on the individual service innovation dimension but on the specific configurations of such service dimensions. Customer interaction also has an important role in achieving innovation success and improving firm performance, while technology has a key role in enhancing firm performance. This study sheds new light on service innovation research by developing a new typology of service innovation, identifying four major clusters as service innovation patterns, and exploring the relationship between service innovation patterns and firm performance.

• Journal of Digital Convergence
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• v.10 no.8
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• pp.73-80
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• 2012

Consulting industry is a knowledge intensive business service industry to lead to knowledge creation as well as support high value creation of other industries. While the consulting industry has a great ripple effect on whole industries, there is a lack of interest in the consulting industry. Thus, this study investigates a ripple effect of the consulting service on the national economy using an Input-Output analysis. We summarize some of our findings as follows. First, A production of 1.0 won in the business consulting industry induces production of 0.6933 won in 2005 and 0.7851 in 2009; value-added of 0.2881 won in 2005 and 0.3039 won in 2009. A production of 1.0 billion won in the business consulting industry Industry produces employment for 0.1124 persons in 2005 and 0.1207 persons in 2009. Second, the supply shortage of 1.0 won in the business consulting industry prevents other industries from producing 2.6759 won in 2005 and 3.0145 won in 2009. Third, a 10% increase in the price level of the business consulting industry raises the overall price level from 0.1691% in 2005 to 0.2161% in 2009. The research results show that consulting industry has been increasing a effect on Korea national economy.

• Journal of Internet Computing and Services
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• v.13 no.1
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• pp.65-74
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• 2012

Cloud services are used for improving business. Moreover, customer relationship management(CRM) approaches use social networking as tools to enhance services to customers. However, most cloud systems do not support the semantic structures, and because of this, vital information from social network sites is still hard to process and use for business strategy. This paper proposes a collaboration framework based on social semantic web for cloud system. The proposed framework consists of components to support social semantic web to provide an efficient collaboration system for cloud consumers and service providers. The knowledge acquisition module extracts rules from data gathered by social agents and these rules are used for collaboration and business strategy. This paper showed the implementations of processing of social network site data in the proposed semantic model and pattern extraction which was used for the virtual grouping of cloud service providers for efficient collaboration.

• The KIPS Transactions:PartD
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• v.18D no.3
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• pp.149-156
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• 2011

Recently, enterprise systems require the necessity of integration for data sharing and cooperation. As a methodology for integration, Service-Oriented Architecture for service integration and Master Data for integration of data, which is used for service, were appeared. This paper suggests a method that operates BP(Business Process) efficiently. We make XMDR(eXtended Meta Data Registry) as knowledge-repository to support the BP and construct data hubs to operate it. XMDR manages MDM(Master Data Management) to integrate the data, resolves heterogeneity between the data and provides relationship to the business efficiently. This is composed of MDR(Meta Data Registry), ontology and BR(Business Relations). MDR describes relationship between meta data to solve structured heterogeneity. Ontology describes semantic heterogeneity and relationship between data. BR describes relationship between tasks. XMDR data hub supports the management of master data and interaction of different process effectively.

• Journal of Engineering Education Research
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• v.15 no.2
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• pp.10-19
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• 2012

The purpose of this study was to analyze job of e-learning quality managers based on the DACUM(Developing A Curriculum) method and to construct a task model of e-learning quality managers. A DACUM committee was composed to analyze job of e-learning quality managers and the committee members were total 12, those are one facilitator, 9 panel members, one recorder and one coordinator. The major findings of this study were as the followings; first, the number of job duty of e-learning quality managers were total 7, which were service planing, infrastructure building, of content developing, service evaluating, administration for quality managing, self-improvement. And total tasks of job of e-learning quality managers were 61. Second, 14 knowledge, 21 skill, 19 attitudes for e-learning quality managers were analyzed. Third, a task model of e-learning quality managers was constructed based on the results of DACUM job analysis.

• Journal of dental hygiene science
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• v.12 no.4
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• pp.392-403
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• 2012

This study aims at providing the basic data to help establish the right identity of dental hygienist and develop the work of dental hygienists, and thereby investigating the effect of patients' perception of dental hygienist on their social demand of dental hygienist, by conducting a survey of 300 patients visiting dentists around Busan-Gyeongnam region from April 7, 2012 to April 25, 2012. The collected data is statistically analyzed by SPSS (Statistical Packages for Social Science 14.0. SPSS Inc., Chicago, IL, USA). First, I analyzed the frequency by suggesting the demographic and descriptive characteristics of data, and conducted t-test and One-Way ANOVA at 5% of significance level to figure out the degree of perception and social demand of dental hygienists depending on customers' reason for visiting dentists, and also conducted regression analysis to find the effect of the perception of dental hygienist on patient's social demand of dental hygienist. The result suggests that as the perception of the dental hygienists' role, the social demand for dental hygienists' image increases, but as perception of dental hygienists' image increases, the social demand of dental hygienists' image decreases. Therefore, it suggests that as the knowledge about dental hygienists increases, patients demand their service more, while the perception of their image lowers the social demand for their image. It turns out that as the knowledge of dental hygienists increase, the social demand for the knowledge also increases.