Framework and Knowledge for Database Integration
Conference Proceeding Article
Traditionally, data integration research has focused primarily on understanding integration issues from the data instance and schema perspectives. However, when the integration of heterogeneous databases is performed without considering the semantics of local databases, an incorrectly integrated database may result. Moreover, most integration tasks must be performed manually. In this research, we propose a framework for acquiring the appropriate domain semantics and various types of knowledge needed to detect and reconcile heterogeneities among local databases. By (semi-)automating the acquisition and maintenance of these semantics and knowledge, coupled with an expert system that performs reasoning over these knowledge, database integration processes can be performed at a higher level of automation. This research introduces a database integration framework. The proposed framework provides a foundation to: 1) analyze database integration issues from a broad scope, 2) discuss the impact of database reverse engineering on database integration, 3) distinguish the data warehousing approach from the federated database approach for global query processing and instance integration, and 4) identify various types of knowledge that are required for proper data integration. A systematic classification of these knowledge will facilitate the design of appropriate techniques to acquire and utilize them.
Information technology, Integrated database, Implementation, Firm, Engineering, Methodology, Performance evaluation, Knowledge based, Knowledge structure
Databases and Information Systems
Data Management and Analytics
Managing Information Technology Resources and Applications in the World Economy: Proceedings of the 1997 Information Resources Management Association International Conference, Vancouver, BC
City or Country
LIM, Ee Peng and CHIANG, Roger Hsiang-Li.
Framework and Knowledge for Database Integration. (1997). Managing Information Technology Resources and Applications in the World Economy: Proceedings of the 1997 Information Resources Management Association International Conference, Vancouver, BC. 218-224. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/898
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