• Journal of Information Technology Services
• /
• v.10 no.2
• /
• pp.309-327
• /
• 2011

Even though several methodologies for SOA(Service Oriented Architecture) have been proposed, in practical aspects most of them have some problems since they fail to propose specific policies in definition and identification of a service. This paper proposes a service modeling methodology. SOMO(Service Oriented Modeling using Ontology), which draws proper services in the process of defining and identifying services. SOMO defines a service ontology based on service definition and characteristics in SOA. The service drawing process consists of 3 steps : requirement analysis, service identification, and service definition. SOMO is expected to increase the degree of reuse and facilitates the definition and search of services by using service ontology. In addition, it clearly allows the definition and identification of services, satisfying the user requirements.

• Journal of Korean Library and Information Science Society
• /
• v.41 no.4
• /
• pp.73-98
• /
• 2010

This study discussed the roles of librarians in readers' advisory services and the education for readers' advisory services in LIS programs. For this, literatures were reviewed and readers' advisory courses provided by LIS programs of North America were investigated. And then the characteristics and contents of readers' advisory courses were analyzed. Based on the analysis, I suggested the education for readers' advisory services in LIS programs of Korea.

• Journal of Information Technology Services
• /
• v.13 no.3
• /
• pp.201-219
• /
• 2014

This paper considers service deployment and priority optimization for multiple service-oriented applications sharing reusable services, which are deployed as multiple instances in the cloud. In order to handle variations in the workloads of the multiple applications, service instances of the individual reusable services are dynamically provisioned in the cloud. Also service priorities for each application in a particular reusable service are dynamically adjusted. In this paper, we propose an analytic performance model, based on a queueing network model, to predict the expected sojourn times of multiple service-oriented applications, given the number of service instances and priority disciplines in individual reusable services. We also propose a simple heuristic algorithm to search an optimal number of service instances in the cloud and service priority disciplines for each application in individual reusable services. A numerical example is also presented to demonstrate the applicability of the proposed performance model and algorithm to the proposed optimal decision problem.

• Journal of Information Management
• /
• v.26 no.4
• /
• pp.1-27
• /
• 1995

Telecommunication services are important means of information exchanges in information society, and information of them connotes the enabling of information exchanges through telecommunication services in all parts of the society. This study, on top of a theoretical foundation of the informatization of telecommunication services, examines and analyzes historical and actual conditions of the services, and tries to make some policy recommendations based on the analysis.

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.1
• /
• pp.123-129
• /
• 2018

The purpose of this paper is to investigate the influence of utilitarian, hedonic and social motivations on continuance intention to use cloud services. To do this, this study built a research model and examined how ease of use, usefulness, enjoyment, social influence affect the continuance usage intention of cloud services. The survey method was used for this paper, and data from a total of 82 university students were used for the analysis. And structural equation model was used to analyze the data. The results of this empirical study is summarized as followings. First, enjoyment has a direct effect on the continuance usage intention of cloud services. Second, social influence has a direct effect on the continuance usage intention. Further, it will provide meaning suggestion point of the importance of not only utilitarian motivation but also hedonic and social motivations in establishing the use policy of cloud services.

• Journal of Information Processing Systems
• /
• v.15 no.4
• /
• pp.717-723
• /
• 2019

Smart systems and services aim to facilitate growing urban populations and their prospects of virtual-real social behaviors, gig economies, factory automation, knowledge-based workforce, integrated societies, modern living, among many more. To satisfy these objectives, smart systems and services must comprises of a complex set of features such as security, ease of use and user friendliness, manageability, scalability, adaptivity, intelligent behavior, and personalization. Recently, artificial intelligence (AI) is realized as a data-driven technology to provide an efficient knowledge representation, semantic modeling, and can support a cognitive behavior aspect of the system. In this paper, an integration of AI with the smart systems and services is presented to mitigate the existing challenges. Several novel researches work in terms of frameworks, architectures, paradigms, and algorithms are discussed to provide possible solutions against the existing challenges in the AI-based smart systems and services. Such novel research works involve efficient shape image retrieval, speech signal processing, dynamic thermal rating, advanced persistent threat tactics, user authentication, and so on.

• Journal of Information Processing Systems
• /
• v.15 no.5
• /
• pp.1029-1035
• /
• 2019

In recent years, artificial intelligence (AI) services have become one of the most essential parts to extend human capabilities in various fields such as face recognition for security, weather prediction, and so on. Various learning algorithms for existing AI services are utilized, such as classification, regression, and deep learning, to increase accuracy and efficiency for humans. Nonetheless, these services face many challenges such as fake news spread on social media, stock selection, and volatility delay in stock prediction systems and inaccurate movie-based recommendation systems. In this paper, various algorithms are presented to mitigate these issues in different systems and services. Convolutional neural network algorithms are used for detecting fake news in Korean language with a Word-Embedded model. It is based on k-clique and data mining and increased accuracy in personalized recommendation-based services stock selection and volatility delay in stock prediction. Other algorithms like multi-level fusion processing address problems of lack of real-time database.

• Korea Trade Review
• /
• v.44 no.6
• /
• pp.23-38
• /
• 2019

This paper aims to empirically study how service trade regulations and FTAs have affected trade in services of Korea, China, and Japan (KCJ). We estimate the gravity equation using the OECD Services Trade Restrictiveness Index (STRI), the Heterogeneity Index, and service trade data of KCJ and their main trade partners from 2003- 2010. The analysis revealed that the more restrictive regulations measured by the STRI are negatively associated with the services trade of Korea and Japan. In addition, Korean FTAs have had a significantly positive effect on service trade. Further empirical results showed that FTAs with a longer implementation period had a greater effect on services trade.

• Journal of Information Technology Applications and Management
• /
• v.15 no.4
• /
• pp.77-101
• /
• 2008

The market size of Internet portals has been continuously expanded and also competition has been fierce. For the business success of Internet portals, it is necessary to repeatedly perform a renewal project which improves their services, reflecting more improved or changed strategies. Accordingly, this paper proposes an analysis methodology for performing the renewal project more systematically and effectively. The methodology consists of four phases : establishing improved strategies, analyzing customers, deriving service alternatives, and determining services. The methodology places an emphasis on reflecting effectively customers' standpoints (i.e. customers' needs) and service providers' standpoints (i.e. business strategy) upon service improvement. Furthermore, the methodology includes a specific technique for analyzing the feasibility of services. To demonstrate the practical usefulness of the methodology, a real-life case is illustrated.

• Journal of Korean Society for Quality Management
• /
• v.47 no.4
• /
• pp.807-822
• /
• 2019

Purpose: To increase the competitiveness of the university and improve the quality of education by providing education services that meet the student's satisfaction needs based on the education service quality survey of university students. Methods: A questionnaire consisting of 6 elements and 38 questions was prepared and students were surveyed. The importance and satisfaction ISA analysis was conducted. Results: The results of this study are as follows; there was a difference in the perception of importance and satisfaction by student characteristics regarding the results of educational service quality measurement. Working students need an extra effort in the educational environment and foreign students in student services. Conclusion: The importance of educational service quality-satisfaction survey should be used to identify the factors of educational service quality by student characteristics to improve student satisfaction, improve the quality of education, and support educational services with a strategic approach.