Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  focus on the problem in information integration systems of obtaining data from an heterogeneous data source accurately and effectively. XML is used as data exchange format of the wrapper.  design the wrapper architecture based on the conversion and management of the views as the bridge from global schema to local schema of various data sources. Our wrapper has two main subsystems, the data extract subsystem and query executor subsystem. The former is for loading data for the cache in the mediator when changes more than threshold are detected, and the latter is for ansring the query from the mediator. The architecture adapts to the data and schema change of the data source and could ansr the query of the mediator effectively. Considering the wrapper may run in the environment without control, the process in the wrapper should be simple enough. The storage in the wrapper itself should be as small as possible and the storage of data source could be used. The detail of the module query rewrite, view management, query merge, result wrap and schema change detect are discussed. The behavior of the wrapper during the query process in the wrapper is discussed with a running example. The security strategy, especially in the distance that the wrapper runs in autonomic data source, is also introduced in this paper.
['Hongzhi Wang', 'Jianzhong Li', 'Zhenying He']
I am writing a research paper on a idea An effective wrapper architecture to heterogeneous data source
[{"from": "human", "value": "I am writing a research paper on a idea An effective wrapper architecture to heterogeneous data source"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  focus on the problem in information integration systems of obtaining data from an heterogeneous data source accurately and effectively. XML is used as data exchange format of the wrapper.  design the wrapper architecture based on the conversion and management of the views as the bridge from global schema to local schema of various data sources. Our wrapper has two main subsystems, the data extract subsystem and query executor subsystem. The former is for loading data for the cache in the mediator when changes more than threshold are detected, and the latter is for ansring the query from the mediator. The architecture adapts to the data and schema change of the data source and could ansr the query of the mediator effectively. Considering the wrapper may run in the environment without control, the process in the wrapper should be simple enough. The storage in the wrapper itself should be as small as possible and the storage of data source could be used. The detail of the module query rewrite, view management, query merge, result wrap and schema change detect are discussed. The behavior of the wrapper during the query process in the wrapper is discussed with a running example. The security strategy, especially in the distance that the wrapper runs in autonomic data source, is also introduced in this paper."}]