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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2006.7
- 수록면
- 439 - 442 (4page)
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초록· 키워드
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With the increased reliance on database system, there are many database systems that must work together. As data warehouses, data marts, and other OLAP systems are added to these environments, the complexity of ensuring the interoperability between systems increases dramatically. Interoperability of database systems can be achieved by capturing the semantics of each system and providing a standardized framework for querying and exchanging semantics specifications.
Our work focuses on the database integration system based on reference ontology that captures the semantics of data stored in databases, and suggests a mediator that integrates data stored within a company across networks. Our approach suggests an easy and fast database integration method by reducing burdens of complexity of local database heterogeneity.
Our work focuses on the database integration system based on reference ontology that captures the semantics of data stored in databases, and suggests a mediator that integrates data stored within a company across networks. Our approach suggests an easy and fast database integration method by reducing burdens of complexity of local database heterogeneity.
목차
ABSTRACT
1. Introduction
2. Trends in Database Integration
3. Designing Database Integration System
4. Conclusions and Further Researches
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2012-004-004247426