Abstract
This effort has focused, and continues to focus, on applying rapid prototyping and Artificial Intelligence techniques to problems associated with Space Station-era information management systems. In particular, our work is centered on issues related to (1) intelligent man-machine interfaces applied to scientific data user support and (2) the requirement that intelligent information management systems (IIMS) be able to efficiently process metadata updates concerning types of data handled. The advanced IIMS represents functional capabilities driven almost entirely by the needs of potential users. The amount and complexity of scientific data projected to be generated by Space Station-era projects (e.g., EOS [Earth Observing System]) is likely to be significantly greater than data currently processed and analyzed. Information about scientific data must be presented to potential users in a clear and concise way, with support features being incorporated to allow users at all levels of expertise efficient and cost-effective data access. Additionally, since data modifications and additions will frequently occur, mechanisms for allowing more efficient IIMS metadata update processes must be addressed. To this end, our work has examined the following aspects of IIMS design: (1) IIMS data and metadata modeling, including the automatic updating of IIMS-contained metadata, (2) IIMS user-system interface considerations, including significant problems associated with remote access, user profiles, and on-line tutorial capabilities, and (3) development of an IIMS query and browse facility, including the capability to deal with spatial information. A working prototype has been developed and is being enhanced. Future work will attempt to clarify a number of issues which have emerged from our present efforts, particularly concerning IIMS information base structure and its relationship to user-support and distributed, heterogeneous database access.
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