• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.5
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• pp.921-929
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• 2008

Recently, many researches have been conducted to solve data heterogeneity as a way for data integration. The elements of the system that we suggest are an XMDR wrapper and XMDR Repository. XMDR wrapper solves the heterogeneity of the existing system by creating the interface based on the standard information of XMDR, and performing the inter-conversion between global XMDR query and local query using mapping data on standard information and local schema. XMDR Repository are composed of XMDR which manages the mapping data on standard information and local schema, and of Proxy DB which saves the accomplished results. With XMDR wrapper and XMDR Repository, users can use the same interface, and they need not conduct repeated queries since XMDR wrapper not only solves the heterogeneity of the schema using the meta-semantic ontology of XMDR, but also considers the heterogeneity accompanying the meaning of the value through instance semantic ontology. Therefore, in this paper we suggest the grid wrapper for the solution of data heterogeneity and efficient data integration.

• Journal of the Korea Society for Simulation
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• v.18 no.1
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• pp.27-34
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• 2009

Currently network users, especially the number of internet users, increase rapidly. Also, high quality of service is required and this requirement results a sudden network traffic increment. As a result, an efficient management system for huge network traffic becomes an important issue. Ontology/data engineering based context awareness using the System Entity Structure (SES) concepts enables network administrators to access traffic data easily and efficiently. The network traffic analysis system, which is studied in this paper, is designed and implemented based on a model and simulation using data engineering methodology to be avaiable in evaluating large network traffic data. Extensible Markup Language (XML) is used for metadata language in this system. The information which is extracted from the network traffic analysis system could be modeled and simulated in Discrete Event Simulation (DEVS) methodology for further works such as post simulation evaluation, web services, and etc.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.1031-1034
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• 2011

헬스케어에서의 상황정보는 사용자와 관련된 정보를 추론하여 질 높은 서비스를 제공하기 위해서 사용자가 필요로 하는 능동적이고 지능적인 서비스를 제공하여야 한다. 본 논문에서는 상황인식을 이용한 보건기상지수 모니터링 방법론을 제안한다. 체온, 기온, 조도, 습도, 자외선에 따른 건강지수를 사용자의 현재 위치에 따라 실시간으로 제공하기 위해서, GPS와 기상청의 RSS로부터 추출한 XML를 활용한다. 보건기상지수는 천식지수, 뇌졸중지수, 피부질환지수, 폐질환지수, 꽃가루농도지수, 도시고온지수의 요소에 따라 분석하여 모니터링한다. 상황정보 수집과 추론 과정을 통해 장치간의 유동성을 보장하는 환경에서 서비스를 지원하기 위한 도메인 상황정보를 구성한다. 이기종 디바이스의 유동성이 보장되는 환경에서 새로운 상황이 존재하면 추가된 상황정보의 서비스를 지원하기 위해서 Naive Bayes 분류자를 이용한다. 상황정보 수집, 상황인식 추론, 상황정보 모델링에 따른 새로운 상황 분류하는 방법론에 대해서 논리적 타당성과 유효성을 검증한다.