• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.12
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• pp.2212-2220
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• 2006

Recently enterprises introduce EAI systems and legacy business which already obtained for data integration among legacy systems. EAI systems in cooperative transaction environment can be expected efficient retrieval as sharing and integrating. However existing legacy systems have to introduce particular EAI solution because it is difficult to adjust standard technology to EAI due to be managed independently without considering interoperability. For solving these problems we use metadata registry using data integration. Various types, semantic specification data heterogeneity and heterogeneity of systems, however, are occurred. Therefore retrieval system based on XMDR(extended Meta-Data Registry) for data interoperability in the web environment are proposed in this paper.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.12
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• pp.2707-2718
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• 2009

Enterprises saved and controled data using individual and various database which were occurred on business. The saved data that were existed in the database were approached by business processing for specified achievement of service's aims and were occurred frequently data migration. This research propose the data migration method using XMDR-DAI(eXtended Meta-Data Registry-Data and Integration) that were occurred by approaching and integration in the process of business processing based on sql query.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.350-353
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• 2014

The large scale of data and operating systems in the trading environment in the cloud. However, technology is not an easy trading system of cloud-based data interoperability. Partially meets the data transfer rate and also the timeliness of the best trading system on the difficulties. Thus various techniques have been introduced for improving the throughput and low latency minimization problem. But the reality is, and the limits of speed improvements like Socket Direct Protocol, Offload Engine with TCP/IP is the hardware, the introduction effect is also low. In this paper, the proposed trading of the cloud XMDR-DAI based stock system. The proposed Safe Proper Time Method for optimal transmission speed and reliability.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10c
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• pp.297-302
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• 2006

데이터 통합은 기업의 각 조직과 주요 업무, 핵심 애플리케이션에서 발생하는 물리적인 데이터 소스들을 표준 규칙과 메타데이터에 여과시켜 중복성을 제거하고. 오직 데이터 통합 및 단일 뷰를 정확하게 제공하기에 어려움이 따른다. 특히, 이기종 시스템이나 다양한 애플리케이션에서 나오는 대량의 데이터를 종류와 형식에 관계없이 호환이 가능하도록 지속적으로 통합하여, 정확한 정보를 실시간으로 동기화하여 제공할 수 있는 자동화된 정보의 통합이 관건이다. 따라서 본 논문에서는 레거시 시스템간의 데이터를 협업할 때 실시간으로 변화는 데이터를 일관성 있게 유지하기 위해서 데이터 협업 메커니즘을 제안한다. 또한 XMDR을 이용하여 협업에 의한 데이터 통합에서 발생하는 의미적 상호 운용성의 문제점을 해결하는 XMDR 기반의 데이터 허브 시스템을 구축한다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06a
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• pp.427-429
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• 2006

데이터 그리드는 분산 데이터베이스 환경에서 상호간 데이터의 공유 및 교환을 통하여 분산 데이터를 효율적으로 사용하기 위한 기술이다. 최근에는 레거시 시스템간의 협업을 하기 위해 상호 연결의 필요성이 강조되고 있으며 많은 연구가 진행되고 있다. 독립주인 레거시 시스템을 상호 연결하기 위해서는 노드간의 회선 점유율이 증가하고, 데이터의 이질적인 문제가 발생한다. 이러한 문제점을 해결하기 위해 본 논문에서는 XMDR 기반의 데이터 그리드 시스템을 제안한다. 본 논문의 데이터 그리드 미들웨어는 ISO/IEC11179에서 제안한 정보 공유 및 교환을 위한 표준인 MDR과 정보의 효율적인 이용을 위한 온톨로지를 포함하여 확장한 개념인 XMDR(eXtended Metadata Registry)에 기반을 두었으며 분산 플랫폼으로부터 독립적이고 자유로운 이동성을 가지고 있는 이동 에이전트 기술을 사용하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.185-188
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• 2010

온톨로지 간 이질성 문제를 해결하고 상호운용성을 향상시키기 위한 연구가 진행되어 왔으며, 최근 XMDR에 기반한 온톨로지 구축 방법이 제안되었으나 기존 연구와의 비교 평가가 부족하여 장점을 정확하게 보이지 못하였다. 따라서 이 논문에서는 XMDR 기반 온톨로지 구축 방법의 장점을 보다 명확하게 보이기 위해 정량적인 평가를 수행한다. 이를 위해 실제 온톨로지를 구축하고, 구축된 온톨로지는 온톨로지 참조 기반 온톨로지 구축 방법, 사전 참조 기반 온톨로지 구축 방법, 기존 방법론을 이용한 온톨로지 구축 방법을 평가 대상으로 하여 5가지 평가 지표로 분석된다. 평가 지표로는 구축된 온톨로지의 어휘 및 구조의 일관성 비교를 위하여 어휘 및 구조의 빈도수 평균과 엔트로피를 사용하고 구축 비용의 평가를 위하여 각 온톨로지의 구축 시간을 사용한다. 이러한 실험 및 평가의 결과로써, 온톨로지 참조 기반의 온톨로지 구축 방법은 다른 온톨로지 구축 방법들에 비해 온톨로지 어휘 및 구조가 일관적이고 효율적임을 보인다.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.263-270
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• 2014

In cloud environment, business intelligence data warehouse is used for decision making and enterprise policy. But if new system is added in cloud environment, much cost and time is needed due to heterogenous characteristics in data integration. This paper suggests a data cleaning system for business intelligence in cloud environment. The proposed system minimizes the effect of local system when it integrates distributed system using XMDR-DAI. And this system provides standardized information to generate information of data warehouse in real time. Also the proposed system saves cost and time by integrating the data without a change of existed system. And it can improve quality of information by generating coherent information through data extraction and cleaning work in real time.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.8B
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• pp.716-729
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• 2006

The information systems in the most enterprise environments are distributed locally and are comprised with various heterogeneous data sources, so that it is difficult to obtain necessary and integrated information for supporting user decision. For solving 'this problems efficiently, it provides uniform interface to users and constructed database systems between heterogeneous systems make a consistence each independence and need to provide transparency like one interface. This paper presents XMDR that consists of category, standard ontology, location ontology and knowledge base. Standard ontology solves heterogeneous problem about naming, attributes, relations in data expression. Location ontology is a mediator that connects each legacy systems. Knowledge base defines the relation for sharing glossary. Adaptive retrieve proposes integrated retrieve system through reflecting site weight by location ontology, information sharing of various forms of knowledge base and integration and propose conceptual domain model about how to share unstructured knowledge.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.11
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• pp.2047-2058
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• 2007

The business environment of enterprises could be difficult to obviate redundancy to filtrate data source occurred on data integrated to standard rules and meta-data and to produce integration of data and single viewer in geographical and spatial distributed environment. Specially, To can interchange various data from a heterogeneous system or various applications without types and forms and synchronize continually exactly integrated information#s is of paramount concern. Therefore data hub system based on SQL/XMDR message to overcome a problem of meaning interoperability occurred on exchanging or jointing between each legacy systems are proposed in this paper. This system use message mapping technique of query transform system to maintain data modified in real-time on cooperating data. It can consistently maintain data modified in realtime on exchanging or jointing data for cooperating legacy systems, it improve clarity and availability of data by providing a single interface on data retrieval.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.12
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• pp.2207-2218
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• 2008

Various kind of business process exists within enterprise. These business processes achieve business purposes while operate and control using eAI solution. However legacy systems-ERP, PDM are able to many cooperations and interoperability. Generally real data is becoming interoperability using query based on store-procedure on legacy system for business process transaction. Also, It may occur some problems among schema conversion, matching, mapping and other heterogeneous between data interoperability in process. We propose business process interoperability framework based on XMDR Hub that can guarantee interoperability between legacy systems using process that is consisted of SQL query based on store-procedure. It is easy to process data interoperability between legacy systems when business process execute.