A Database System to Advance Subsurface Sensing and Imaging |
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Authors: | Huanmei Wu Becky Norum Betty Salzberg and David Kaeli |
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Affiliation: | (1) Center for Subsurface Sensing and Imaging Systems, Northeastern University, Boston, MA, 02115 |
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Abstract: | The CenSSIS Image Database System is a scientific database that enables effective collaboration, scientific data sharing and accelerates fundamental research. We describe a state-of-the-art system that uses the Oracle RDBMS and J2EE technologies to provide remote, Internet-based data access. The system incorporates efficient submission and retrieval of images and metadata, indexing of metadata for efficient searching, and complex relational query capabilities. |
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Keywords: | Hierarchical collections web image database metadata XML tagging |
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