Publication Type

Journal Article

Publication Date

3-2000

Abstract

Database integration research has traditionally focused on understanding integration issues from the schema and instance perspectives. As a result, database integration approaches tend to rely on a direct comparison of schema and instance elements. However, when the integration of heterogeneous databases is performed without considering the domain semantics and knowledge of local databases such as context information and requirement specifications, an incorrect integrated database may be produced. In this research, a framework for carrying out database integration tasks using the above knowledge is proposed. The framework provides a thorough foundation to: 1. analyze database integration issues from a broad scope, 2. discuss the implications of database reverse engineering on database integration, 3. distinguish the data warehousing approach for global query implementation and instance integration, and 4. provide a systematic classification of knowledge useful for database integration.

Keywords

database integration, federated database systems (FDBS), data warehouse, database reverse engineering, database integration knowledge and process

Discipline

Databases and Information Systems

Research Areas

Data Management and Analytics

Publication

Data Base for Advances in Information Systems

Volume

31

Issue

2

First Page

46

Last Page

64

ISSN

1532-0936

Publisher

ACM

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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