SRDS: A new approach of Schema Reuse for Data Sharing in CALS

To tackle the large scale schema matching problem, which usually occurs in the CALS data integration situation, we provide the SRDS (Schema Reuse for Data Sharing) architecture. Traditional data integration methods cost expensively and error-prone, mainly because they ignored to reuse the complex relationship with the existing schema mapping. Enlightened by the Galaxy and Schemr system, we increase the interoperability impact of such data standards by explicitly supporting the fractal nature of sharing core schema. Firstly, we improve the schema search algorithm, which combines techniques from document search and schema matching. Secondly, we process the query by query rewriting technology to deal with the heterogeneous of underlying data model. Finally, we use a realistic integration system to illustrate the data sharing architecture.