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6.4.1 On the Use of Knowledge Modeling Tools and Techniques to Characterize the NOAA Observing System Architecture
Author(s) -
Martin James N
Publication year - 2003
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2003.tb02646.x
Subject(s) - geospatial analysis , metis , architecture , computer science , visualization , systems engineering , systems architecture , engineering , geography , remote sensing , database , data mining , archaeology
The National Oceanic and Atmospheric Administration (NOAA) in the United States has a very broad charter that includes making “observations” of environmental phenomena worldwide. These observing systems are used to provide accurate and timely information to various stakeholders who depend on this information to make critical decisions about farming, construction, fishing, military operations, traffic safety, and so on. This paper describes a project to develop the NOAA Observing System Architecture to assist NOAA in formulating its strategic plans and invest its funding more effectively. We used “knowledge modeling” as the basic approach to capture information about the systems and other entities associated with the architecture. We are using the Metis enterprise architecture tool along with DOORS for requirements, NOAA Forge for team collaboration, and ArcIMS for geospatial data visualization.