Techniques for managing very large scientific databases

Discusses issues relating to the state of the art in scientific data management. Management of scientific data sets or databases is reviewed. The generic science requirements, as well as a case example that drives the underlying data management system architecture are explored, showing current technology limitations. A concept of intelligent information fusion with sufficient detail on how to integrate advanced technologies to enhance scientific production, is presented. Emphasis is on user interfaces, spatial data structure, uses of neural networks for extracting information from scientific imagery, uses of object-oriented database management systems, animation, and visualization techniques.<
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