• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.16-18
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• 2004

최근 XML은 다양한 운영체제와 데이터베이스, 여러 응용체계를 포함하는 이질적인 컴퓨팅 환경에서 통합을 위한 표준으로 각광받고 있다. XML은 특히 데이터베이스 시스템, 과일 시스템 등을 포함한 이질적인 형태의 데이터 처리 시스템 사이에서 데이터를 교환하기 위한 각종 표준을 제공하고 있다. 본 논문의 목적은 여러 분야에서 데이터공유를 위한 많은 노력 끝에 제시한 각종 표준 및 지침을 연구하여 통합적인 정보체계의 기반을 구축할 수 있는 통합 프레임워크를 제안하는 것이다. 통합 프레임워크는 다양한 정보 시스템에서 운영, 유지하고 있는 이질적인 데이터를 통합하기 위한 방법으로 XML Registry를 이용하여 메타데이터를 생성하고 이를 참조하여 통합정보체계에서 필요로 하는 공유데이터를 보관, 관리하는 공유 데이터 Repository를 생성한 후 각종 정보를 제공할 수 있는 구조이다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10a
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• pp.37-39
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• 2001

XML을 이용하여 인터넷 기반의 B2B e-business가 가능하도록 하는 전자상거래 국제 표준안인 ebXML이 국제 기구인 UN/CEFACT와 OASIS가 공동 추진하여 지난 5월 표준으로 제정되었다. ebXML의 핵심은 등록기/저장소이며 등록기/저장소에서 지원하는 등록기 서비스에는 객체 관리 서비스와 객체 질의 관리 서비스가 존재한다. 본 논문에서는 현재 제안된 표준 vl.0을 기준으로 등록기에 저장된 메타데이타를 검색할 수 있는 서비스 인터페이스를 정의하고, 이를 위한 질의를 제공하는 객체 질의 관리 시스템을 설계 및 구현하였다. 또한 Browse & Drilldown Query, Filter Query와 같은 ad-hoc 질의 서비스를 제안하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.561-564
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• 2009

In this paper, we present an environment configuration of UML CASE tool for internet based collaboration work. We define a method of model sharing in distributed location and construct shared repository. Also we design for model history among work processes and to give responsibility using user authentication. Its result will contribute development of CASE tool supporting collaboration work.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.597-600
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• 2004

최근에는 웹 환경에 적합한 개방형과 컴포넌트들을 효율적으로 분류하고 추출하는 방법이 연구되고 있다. 본 논문은 개발환경에서 생성되는 산출물들 중 디자인패턴을 통합 관리하고, 추출, 검색하여 관리해 주는 인덱스순서관계정보모델을 설계 구현한다. 이 제안의 장점은 "인덱스 순서관계정보"로 클래스들 사이의 관련된 여러 관계정보를 UML 설계방법에 적응할 수 있는 구조로 변형할 수 있다. 두 번째 장점은 개발자가 인덱스 순서관계 정보에서 제공하는 정보를 가지고 관계정보를 쉽게 파악할 수 있으며, 디자인 패턴을 쉽게 추출함으로서 개발자는 설계정보에 쉽게 적용할 수 있다. 따라서 본 논문에서는 검색시간과 추출의 효율성을 입증하기 위해 시뮬레이션을 실시하여 향상된 기능을 입증하였다. 이 모델은 급변하는 소프트웨어 산업에 능동적으로 대체와 소프트웨어 개발에 시간을 단축함으로써 현존하는 다양한 디자인 패턴들을 최소한의 코드 수정을 통하여 재설계 함으로써 소프트웨어 개발 경제성을 높이는 데 있다.

• Asia pacific journal of information systems
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• v.32 no.4
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• pp.916-944
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• 2022

Artificial Intelligence has been a conceptual area for several decades. It has been studied extensively through experiments by the Information Systems community. When Information Systems supported with Information Technology became all pervasive in business and other allied areas, gradually the advancements in Artificial Intelligence also emerged as innovations across domains. Artificial Intelligence by definition is expected to substitute Human Intelligence, thereby making a huge space for innovation. In fact, all processes effected by human intelligence are liable to be replaced by AI which in itself is a massive innovation space. This paper will study the publication's repository (Scopus and Google Scholar from 1983 till 2021) in the area of Artificial Intelligence and innovation, then analyze the trend to gain insight into the evolution of AI as a vehicle for innovation.

• The Journal of Society for e-Business Studies
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• v.8 no.3
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• pp.197-217
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• 2003

ebXML(Electronic Business XML) is a global eBusiness framework standard which provides solutions to interoperability problem between heterogeneous eBusiness systems. ebXML framework includes Business Process Specification, Core Components, Registry/Repository and Messaging Service as its major components. Based on this framework, ebXML business transactions are executed by exchanging appropriate business documents as specified in Business Process Specification. And required business documents are generated by assembling Core Components at the Business Process design time. In this paper, we present technical architecture of ebXML framework and Core Component technology, and then explain design and implementation issues of ebXML business document generation tool.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.6
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• pp.1230-1237
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• 2009

In this paper, we develop a design methodology of Granular-based Radial Basis Function Neural Networks(GRBFNN) by context-based clustering. In contrast with the plethora of existing approaches, here we promote a development strategy in which a topology of the network is predominantly based upon a collection of information granules formed on a basis of available experimental data. The output space is granulated making use of the K-Means clustering while the input space is clustered with the aid of a so-called context-based fuzzy clustering. The number of information granules produced for each context is adjusted so that we satisfy a certain reconstructability criterion that helps us minimize an error between the original data and the ones resulting from their reconstruction involving prototypes of the clusters and the corresponding membership values. In contrast to "standard" Radial Basis Function neural networks, the output neuron of the network exhibits a certain functional nature as its connections are realized as local linear whose location is determined by the values of the context and the prototypes in the input space. The other parameters of these local functions are subject to further parametric optimization. Numeric examples involve some low dimensional synthetic data and selected data coming from the Machine Learning repository.

• The Journal of Society for e-Business Studies
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• v.14 no.1
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• pp.81-92
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• 2009

In order to use a RDBMS as the repository for product information, it is essential that the ontological query be processed effectively and answered properly, satisfying the user's expectations for an ontological query process. To be well-processed ontological queries, the key point is whether the various semantic relationships among the concepts of the product information are likewise well-processed. For feasibly processing a semantic query, we need to consider how the product ontology data is designed and stored in RDBMS. In this paper, we present how a RDB schema for the product ontology could be designed and queried.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.4
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• pp.868-874
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• 2010

In this paper, we propose a design of automated electronic sanction system for management of six sigma projects. The proposed system performs diverse operations such as registering and choosing enterprise-wide enhancement project, managing schedules of the project, verifying the validity of the project, and thus managing the whole life cycle of the project. Each six sigma project is stored in the database repository for facilitation of its later use. The proposed system has been effectively applied in a Korean company, and thus, through the proposed system, we expect the effects of innovation-related and enhancement-related activities which six sigma is fundamentally pursuing.

• Journal of Korean Society for Quality Management
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• v.48 no.4
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• pp.553-566
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• 2020

Purpose: The purpose of this study was to design a framework for generating one-class classification algorithm based on Hyper-Rectangle(H-RTGL) in a distributed environment connected by network. Methods: At first, we devised one-class classifier based on H-RTGL which can be performed by distributed computing nodes considering model and data parallelism. Then, we also designed facilitating components for execution of distributed processing. In the end, we validate both effectiveness and efficiency of the classifier obtained from the proposed framework by a numerical experiment using data set obtained from UCI machine learning repository. Results: We designed distributed processing framework capable of one-class classification based on H-RTGL in distributed environment consisting of physically separated computing nodes. It includes components for implementation of model and data parallelism, which enables distributed generation of classifier. From a numerical experiment, we could observe that there was no significant change of classification performance assessed by statistical test and elapsed time was reduced due to application of distributed processing in dataset with considerable size. Conclusion: Based on such result, we can conclude that application of distributed processing for generating classifier can preserve classification performance and it can improve the efficiency of classification algorithms. In addition, we suggested an idea for future research directions of this paper as well as limitation of our work.