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A wealth of environmental data from diverse sources at multiple scales exists and continues to accumulate each day. Scientists, policy makers, industry and the general public have diverse needs for data access, manipulation, summarization, and interpretation. This research addresses fundamental technology issues associated with a multidiscipline approach to finding, assimilating, and analyzing useful information from large, distributed multi-media environmental databases. Technology areas include intelligent agents for searches among data collections, natural language data navigation techniques, machine learning, rule-based systems, data visualization, object data bases, interoperability over heterogeneous hardware/software platforms, and synthesis of information for scientific and public use.
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Budget ($ M)
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FY 95 Act
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0.30
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FY 96 Pres
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1.02
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FY 96 Est
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0.60
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FY 97 Rqst
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0.60
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Program Component Areas
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FY 96
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FY 97
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HECC
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LSN
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HCS
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HuCS
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0.60
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0.60
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ETHR
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Agency Ties
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DARPA
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NSF
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DOE
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NASA
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Partner
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NIH
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NSA
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NIST
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NOAA
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Partner
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EPA
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ED
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AHCPR
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VA
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