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A Knowledge-Based Representation Scheme for Environmental Science ModelsOne of the primary methods available for studying environmental phenomena is the construction and analysis of computational models. We have been studying how artificial intelligence techniques can be applied to assist in the development and use of environmental science models within the context of NASA-sponsored activities. We have identified several high-utility areas as potential targets for research and development: model development; data visualization, analysis, and interpretation; model publishing and reuse, training and education; and framing, posing, and answering questions. Central to progress on any of the above areas is a representation for environmental models that contains a great deal more information than is present in a traditional software implementation. In particular, a traditional software implementation is devoid of any semantic information that connects the code with the environmental context that forms the background for the modeling activity. Before we can build AI systems to assist in model development and usage, we must develop a representation for environmental models that adequately describes a model's semantics and explicitly represents the relationship between the code and the modeling task at hand. We have developed one such representation in conjunction with our work on the SIGMA (Scientists' Intelligent Graphical Modeling Assistant) environment. The key feature of the representation is that it provides a semantic grounding for the symbols in a set of modeling equations by linking those symbols to an explicit representation of the underlying environmental scenario.
Document ID
20010121532
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Keller, Richard M.
(RECOM Technologies, Inc. Moffett Field, CA United States)
Dungan, Jennifer L.
(Johnson Controls, Inc. United States)
Lum, Henry, Jr.
Date Acquired
August 20, 2013
Publication Date
January 1, 1994
Subject Category
Environment Pollution
Meeting Information
Meeting: AIAA 1994 Workshop on AI Technologies for Environmental Applications
Location: Seattle, WA
Country: United States
Start Date: July 30, 1994
End Date: July 31, 1994
Sponsors: American Inst. of Aeronautics and Astronautics
Funding Number(s)
PROJECT: RTOP 233-01-02
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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