• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2003년도 춘계학술대회
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• pp.226-229
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• 2003

This study presents an intelligent CRM (Customer Relationship Management) application methodology for supplier companies in Business-to-Business environments. The intelligent methodology proposed in this study consists of three-stage-procedures such as static CRM application stage, adaptive CRM application stage and external CRM application stage.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2007년도 춘계학술대회 학술발표 논문집 제17권 제1호
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• pp.189-192
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• 2007

This study proposes a Natural Language Query Framework (NLQF) on the semantic web to support the intelligent deduction at semantic level. A large number of former researches are focused on the knowledge representation on the semantic web. However, to revitalize the intelligent agent (IA)-based automated e-business contract with human customers, there is a need for semantic level approach to the web information. To enable accessing web information at semantic level, this paper discusses the pattern of complex natural language processing at first, and then the semantic web-based natural language inference in e-business environment. The NL-based approach could help the IAs on the web to communicate with customers and other IAs with more natural interface than traditional HTML-based web information. Therefore, our proposed NLQF will be used in semantic web-based intelligent e-business contracts between customers and IAs.

• International Journal of Computer Science & Network Security
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• 제23권4호
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• pp.103-110
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• 2023

Financial inclusion is the safe and timely access of formal financial services to people at affordable costs. Various barriers of legacy financial system hinder the involvement of all segments of populations in the financial sector. The journey from financial exclusion to financial inclusion has to be achieved with the implementation of technological breakthroughs. Covid-19 has also raised the need for technology in all sectors of the economy. This research paper introduces the concept of intelligent financial inclusion which is the provision of financial services to people with the help of intelligent systems. This intelligent system will take the concepts from the human mind, cognitive sciences, and artificial intelligence tools and techniques. For achieving the optimal level of financial inclusion, economies must shift their financial sector from traditional means to intelligent financial systems. In this way, intelligent financial inclusion will achieve the target of involving all people in the financial sector.

• 디지털융복합연구
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• 제7권1호
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• pp.175-183
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• 2009

With the development of enabling technologies such as wireless networking and various types of hand held-mobile devices, Mobile intelligent agent has been widely applied to various fields. Different views on capabilities, advantages, and disadvantages of mobile intelligent agent providing an ubiquitous access are brought by field researchers and practitioners recently. The purpose of this paper is thus to provide the discussion of the comtemporary development of mobile intelligent agent in the contexts of the Infosphere, focusing especially on developing and nurturing the future research grounds such as information scalability, and information security. The results of this study would improve the applications of mobile intelligent agents in web transaction, especially mobile business surroundings where many interest groups have to adjust their point of issues rapidly due to the changing business environment, i.e., customer's change the order item in web.

• ETRI Journal
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• 제29권4호
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• pp.477-488
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• 2007

In recent years, numerous studies have identified and explored issues related to web-service-oriented business process specifications, such as business process execution language (BPEL). In particular, business rules are an important cross-cutting concern that should be distinguished from business process instances. In this paper, we present a rule-based aspect oriented programming (AOP) framework where business rule aspects contained in business processes can be effectively separated and executed. This is achieved by using a mechanism of the business rule itself at the business rule engine instead of using existing programming language-based AOP technologies. Through some illustrative examples, this work also introduces a method by which business rule aspects, separated through an external rule engine, can be represented and evaluated. We also demonstrate how they can be dynamically woven and executed by providing an implementation example which uses two open-source-based products, the Mandarax rules engine and Bexee BPEL engine.

• 한국지능시스템학회논문지
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• 제18권1호
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• pp.127-132
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• 2008

This study proposes a Natural Language Query Framework (NLQF) for the semantic web. It supports an intelligent inference at a semantic level. Most of previous researches focused on the knowledge representation on the semantic web. However, to revitalize the intelligent e-business on the semantic web, there is a need for semantic level inference to the web information. To satisfy the need, we will review the knowledge/resource representation on the semantic web such as RDF, Ontology and Conceptual Graph (CG), and then discuss about the natural language (NL) inference. The result of this research could support a natural interface for the semantic web. Furthermore, we expect that the NLQF can be used in the semantic web-based business communications.

• 패션비즈니스
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• 제14권6호
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• pp.70-83
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• 2010

With the rapid development of science and technology and the increased preference by consumers for high-function products, many products are being developed through the fusion of technologies in different industries. Among such fusion technologies, digital clothing which combines clothing with computer functions is being examined as a new growth item. The objectives of this study are to examine the concept, history, development, and market of intelligent clothing, in order to discuss future directions for the development of digital clothing technology. intelligent clothing (wearable computers) originated in the 1960s from the concept of separating computing equipment and attaching it to the body. This technology was studied intensively from the early 1980s and to the early 1990s. In the late 1990s, studies on wearable computers began to develop intelligent/digital clothing that was more comfortable and beneficial to users. Depending on the user and purpose, intelligent/digital clothing is now being developed and used in diverse industrial areas that include sports, medicine, military, entertainment, daily life, and business. Many experts forecast a huge growth potential for the digital textile/clothing market, and predict the fastest market growth in the field of healthcare/medicine. There exists a need to find solutions for many related technological, economic, and social issues for the steady dissemination and advancement of intelligent/digital clothing in various industries. Further, research should be continued on effective fusion technologies that reflect human sensitivity and that increase user convenience and benefits.

• 한국전자거래학회지
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• 제8권2호
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• pp.63-76
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• 2003

e-비즈니스 프레임워크에서 가장 핵심적인 역할을 담당하는 것은 e-비즈니스 수행에 필요한 모든 메타데이타 정보들을 관리하는 레지스트리이다. 그러나, 실제적인 e-비즈니스 적용은 아직까지 어렵다. 즉 e-비즈니스 정보들은 물리적 또는 논리적으로 분산되고 이질적인 레지스트리들 안에 저장/관리되며 , 저장된 정보에 대해서는 키워드 기반의 검색 방법을 이용한다. 이것은 실제 e-비즈니스 수행에 있어서 거래에 필요한 비즈니스 정보 검색의 어려움을 제공한다. 이러한 문제점에 대한 인식은 확산되고 있으며, 이를 해결하기 위한 분산된 다양한 레지스트리의 통합과 체계적인 e-비즈니스 정보의 정의 및 지능적인 발견 기술의 적용이 요구된다. 본 논문에서는 이러한 문제점을 해결하기 위해 지능형 통합 e-비즈니스 레지스트리 시스템을 제안하였으며, 레지스트리 시스템들간의 통합 기능을 제공하는 레지스트리 통합 질의 관리기를 구현하였다. 또한, 향후 개발 할 지능형 레지스트리 에이전트 시스템의 구조를 정의하였다.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.156-163
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• 2001

Business forecasting is vital to the success of business. There has been an increasing demand for building business forecasting software system to assist human being to do forecasting. However, the uncertain and complex nature makes is a challenging work to analyze, design and implement software solutions for business forecasting. Traditional forecasting systems in which their models are trained based on small collection of historical data could not meet such challenges at the information explosion over the Internet. This paper presents an agent oriented business forecasting approach for building intelligent business forecasting software systems with high reusability. Although agents have been applied successfully to many application domains. little work has been reported to use the emerging agent oriented technology of this paper is that it explores how agent can be used to help human to manage various business forecasting processes in the whole business forecasting life cycle.

• 한국컴퓨터정보학회논문지
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• 제24권9호
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• pp.119-125
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• 2019

The purpose of this study is to find out the relevant factors of the choice tendency of tourism users to Intelligent Tourism platform through big data analysis, which will help enterprises to make accurate positioning and improvement according to user information feedback in the tourism market in the future, so as to gain the favor of users' choice and achieve long-term market competitiveness. This study takes the Intelligent Tourism platform as the independent variable and the user choice tendency as the dependent variable, and explores the related factors between the Intelligent Tourism platform and the user choice tendency. This study make use of text mining and R language text analysis, and uses SPSS and AMOS statistical analysis tools to carry out empirical analysis. According to the analysis results, the conclusions are as follows: service quality has a significant positive correlation with user choice tendency; service quality has a significant positive correlation with tourism trust; Tourism Trust has a significant positive correlation with user choice tendency; service quality has a significant positive correlation with user experience; user experience has a significant positive correlation with user choice tendency Positive correlation effect.