• The Journal of Society for e-Business Studies
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• v.6 no.2
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• pp.39-55
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• 2001

As the Proliferation of the Internet, especially World Wide Web, numerous information resources have been constructed. The characteristics of information resources on the Internet are that the information resources are distributed, autonomous, and heterogeneous. Moreover each information resource has its own query method, data representation, and schema structure. The integration of information resources is one of the most important research issues in the Internet data management. The task of information resources integration system is to answer queries that require extracting and combining data from multiple information sources. In this paper, we propose an XML-based Mediation Framework(XMF) for integrating the Internet information resources.

• Smart Media Journal
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• v.11 no.10
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• pp.36-45
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• 2022

This study was promoted to prepare an ESG-oriented work system for Korea Expressway Corporation through sustainable highway construction, IOT-based smart highway preparation, and establishment of a broad convergence business governance system between multiple ministries and implementing entities. Based on the 2nd Basic Plan for Landscape Policy (2020~2024) and the Public Design Promotion Act (2018~2022), the study was conducted through the improvement of the highway design method to be applied for four years from 2021 to 2024, the changes in construction and social conditions related to expressways, the analysis of policies and plans to secure consistency with the 'Korean New Deal', and the analysis of the project performance and work promotion system that the Korea Expressway Corporation's business execution organization has promoted together with each government department. The results of this research are expected to help the Korea Expressway Corporation establish the 21st Innovation Plan for the phased construction of a "100-years landscape with people" and the preparation of a sustainable future highway environment creation project for the lives and safety of the people.

• Asia pacific journal of information systems
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• v.32 no.3
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• pp.496-513
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• 2022

Artificial intelligence or big data technologies can benefit finance companies such as those in the insurance sector. With artificial intelligence, companies can develop better customer segmentation methods and eventually improve the quality of customer relationship management. However, the application of AI-based customer segmentation in the insurance industry seems to have been unsuccessful. Findings from our interviews with sales agents and customer service managers indicate that current customer segmentation in the Korean insurance company relies upon individual agents' heuristic decisions rather than a generalizable data-based method. We propose guidelines for AI-based customer segmentation for the insurance industry, based on the CRISP-DM standard data mining project framework. Our proposed guideline provides new insights for studies on AI-based technology implementation and has practical implications for companies that deploy algorithm-based customer relationship management systems.

• Journal of Information Technology Applications and Management
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• v.26 no.5
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• pp.13-25
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• 2019

Recently, as evaluation of information security (IS) management become more diverse and complicated, the contents and procedure of the evidence to prepare for actual assessment are rapidly increasing. As a result, the actual assessment is a burden for both evaluation agencies and institutions receiving assessments. However, most of them reflect the evaluation system used by foreign government agencies, standard organizations, and commercial companies. It is necessary to consider the evaluation system suitable for the domestic environment instead of reflecting the overseas evaluation system as it is. The purpose of this study is as follows. First, we will present the problems of the existing information security assessment system and the improvement direction of the information security assessment system through analysis of existing information security assessment system. Second, it analyzes the technical guidance for information security testing and assessment and the evaluation of information security management in the Special Publication 800-115 'Technical Guide to Information Security Testing and Assessment' of the National Institute of Standards and Technology (NIST). Third, we will build a framework to implement the evidence collection system and present a system implementation method for the '6. Information System Security' of 'information security management actual condition evaluation index'. The implications of the framework development through this study are as follows. It can be expected that the security status of the enterprises will be improved by constructing the evidence collection system that can collect the collected evidence from the existing situation assessment. In addition, it is possible to systematically assess the actual status of information security through the establishment of the evidence collection system and to improve the efficiency of the evaluation. Therefore, the management system for evaluating the actual situation can reduce the work burden and improve the efficiency of evaluation.

• The Journal of Society for e-Business Studies
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• v.7 no.1
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• pp.87-106
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• 2002

The behavioral and dynamic implications of an ERP implementation/installation are, to say the least, not well understood. Getting the switches set to enable the ERP software to go live is becoming straightforward. The really difficult part is understanding all of the dynamic interactions that accrue as a consequence. Dynamic causal and connectionist models are employed to facilitate an understanding of the dynamics and to enable control of the information-enhanced processes to take place. The connectionist model ran be analyzing (behind the scenes) the information accesses and transfers and coming If some conclusions about strong linkages that are getting established and what the behavioral implications of those new linkages and information accesses we. Ultimately, the connectionist model will come to an understanding of the dynamic, behavioral implications of the larger ERP implementation/installation per se. The underlying connectionist model will determine information transfers and workflow. Once a map of these two infrastructures is determined by the model, it becomes a relatively easy job for an analyst to suggest improvements in both. Connectionist models start with analog object structures and then use learning to produce mechanisms for managerial problem diagnoses. These mechanisms are neural models with multiple-layer structures that support continuous input/output. Based on earlier work performed and published by the author[10][11], a Connectionist ReasOning and LEarning System(CROLES) is developed that mimics the real-world reasoning infrastructure. Coupled with an explanation subsystem, this system can provide explanations as to why a particular reasoning structure behaved the way it did. Such a system operates in the backgmund, observing what is happening as every information access, every information response coming from each and every intelligent node (whether natural or artificial) operating within the ERP infrastructure is recorded and encoded. The CROLES is also able to transfer all workflows and map these onto the decision-making nodes of the organization.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.211-218
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• 2023

Due to the implementation of COVID-19 distancing, interest and users in 'home training' are rapidly increasing. Therefore, the purpose of this study is to identify the perception of 'home training' through big data analysis on social media channels and provide basic data to related business sector. Social media channels collected big data from various news and social content provided on Naver and Google sites. Data for three years from March 22, 2020 were collected based on the time when COVID-19 distancing was implemented in Korea. The collected data included 4,000 Naver blogs, 2,673 news, 4,000 cafes, 3,989 knowledge IN, and 953 Google channel news. These data analyzed TF and TF-IDF through text mining, and through this, semantic network analysis was conducted on 70 keywords, big data analysis programs such as Textom and Ucinet were used for social big data analysis, and NetDraw was used for visualization. As a result of text mining analysis, 'home training' was found the most frequently in relation to TF with 4,045 times. The next order is 'exercise', 'Homt', 'house', 'apparatus', 'recommendation', and 'diet'. Regarding TF-IDF, the main keywords are 'exercise', 'apparatus', 'home', 'house', 'diet', 'recommendation', and 'mat'. Based on these results, 70 keywords with high frequency were extracted, and then semantic indicators and centrality analysis were conducted. Finally, through CONCOR analysis, it was clustered into 'purchase cluster', 'equipment cluster', 'diet cluster', and 'execute method cluster'. For the results of these four clusters, basic data on the 'home training' business sector were presented based on consumers' main perception of 'home training' and analysis of the meaning network.

• The Journal of Society for e-Business Studies
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• v.18 no.2
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• pp.27-46
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• 2013

To reduce time to market for converged services, the service provider needs to combine external services and internal processes together, and IT architecture for converged services has to support it. Service Oriented Architecture (SOA) enables the development of a converged service by combining external services and internal processes effectively. However, it is difficult for the existing SOA methods to support the evolution of a converged service, even though the service which consists of the converged service changes over time. In this paper, we argue that a method for profile-based dynamic service binding is required to support evolution of converged services. In order to identify requirements for the proposed method, a business scenario with a smart athletic equipment is given. We then present the concept and architecture of the method for profile-based dynamic service binding to meet the identified requirements. We also demonstrate a prototype implementation for evaluating the proposed method.

• Journal of information and communication convergence engineering
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• v.18 no.3
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• pp.194-200
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• 2020

Cities in Indonesia include diverse scattered industrial centers comprising industries that can sustain the existing economic pace. For industrial data collection, the city government still relies on census that consumes extensive time and money. The public are unfamiliar with industries owing to their lack of industry information; therefore, the market share is not optimal. In addition, the opportunity to procure investors for business development is limited. A Geographic Information System (GIS) is a computer system that can record, store, write, analyze, and display geographical data. Using the Rapid Application Development (RAD) method, GIS was developed on a website platform to provide information on industry profiles, types of production, investment values, industry maps, and industrial locations in each village and sub-district to a wider community. The RAD method was chosen compared to the waterfall method because it could accelerate website development process.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.16 no.2
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• pp.137-149
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• 2012

We propose an efficient method to measure the insurance risk of causality insurance companies by using the CreditRisk+ methodology. This method is superior to previous methods in several aspects. Its computation speed is very fast and the input data form is simple. It is able to aggregate both credit risk and insurance risk, so the insurance company can manage the risk in combined manner. In this paper, we propose a mathematical method to obtain the aggregate loss distribution of portfolios having correlation among products or business lines as a general case, and then suggest its implementation algorithm. Finally we apply this method to the real data from Korea Insurance Development Institute (KIDI) and discuss its availability to real applications.

• The KIPS Transactions:PartD
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• v.13D no.1 s.104
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• pp.97-102
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• 2006

Generally, a software development process is composed with requirements analysis, design, coding, test and maintenance. However, some changes of the design step are difficult to complicate the next step in the development process. It always causes the disagreement between design and implementation step. In this paper, we have developed a tool which can generate an application program. The tool can reduce the disagreement between system design and implementation and recognize the business logic to develop the software rapidly and flexibly In addition, we proposed a non-program-based application program system approach was proposed, In. We can generate and modify an application program with this method which can edit the meta data of a system design by the dynamic method for the execution time.