ABSTRACT:
One challenge in data integration is to provide frameworks in which the data can be integrated. Established data integration processes require all the semantic mappings between separate data sources to be determined up front prior to being able to run any data services. In order to establish the semantic mappings, it is likely a data integration project will require accurate timescales for producing the semantic mappings. As a result, data integration projects are often costly and risky undertakings. This work is presenting data integration pathways in a common data model using the principle of wrapping. The principle of wrapping integrates data sources and translates schemas into a common data model.
Keywords:
Data Integration, Data Services, Querying Tool, Data Wrapper, Unified Schema
