Applying ontology to geographical scientific data extraction

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.