Design and Development of Semantic Database Integration System-Sedis:
No Thumbnail Available
Date
2008-06
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Addis Ababa University
Abstract
Integration of information from different sources continues to be a high priority in today’s business. One of the many sources for integration of information is data stored in relational databases. Database integration is therefore one of the current and burning research issues in the field of information systems.
Ethiopia has started an ambitious program of woreda networking (“woreda-net”) to connect Federal, Regional, and Woreda levels and in this perspective a database integration system could provide an integrated source of aggregated and organized data from the regional and woreda levels to the federal offices.
According to our country’s structure, the ministry of health is one of the offices at the federal level and has its information sources from regional and woreda health offices. Policy makers at the federal level need these data to be integrated for further processing.
This project work is started by conducting revision of works related to database integration and have identified requirements and challenges of database integration. Different approaches to database integration have also been investigated through review of related works.
In this project, semantic database integration system is proposed to integrate heterogeneous databases.The proposed model distinguishes two major layers: Database to RDF Gateway and, Mapping and Integration Engine. In our model, Database to RDF gateway component converts source databases to RDF/OWL forms by filling their schemas to RDF/OWL template.
vii
To define concepts in the domain of health, we have developed ontology. This ontology will help in resolving semantic conflicts among the component databases. The mapping and integration engine is the main component of our model and it performs the task of mapping and integration. During the mapping process, it relates RDF schemas to concepts on the ontology and during the integration process; it performs the task of reasoning.
Two more components: Data source and application layers are used to test our proposed system. The data source layer consists of candidate databases for integration and the application layer consists of user applications.
viii
Description
Keywords
Database Integration; System-Sedis: