It is increasingly concerning global change and its regional impacts. There are many scientific information systems focused on this issue. In this paper1, we, based on the metadata classification and ontology, propose a scientific information retrieving and extracting architecture that can tie the metadata classification mechanism to extract the searched file efficiently and can accurately access and view Argo' data. The architecture is built by utilizing mediator/wrapper architecture to develop a scientific data extracting system. The system can easily help oceanographer to analyze the ocean's ecology by means of temperature, salinity and other information. The result of performance evaluation shows that one is about the architecture with the help of metadata classification can extract user's desired data effectively and efficiently, and the other is concerned about correctness of information retrieval.
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