Large scale Geographic Information Systems (GIS) require experts from different areas, such as data
maintenance and handling, data rendering and displaying, and data processing. However, it is
challenging to host data, processing capabilities, and experts in the same geographical location. To
enable remote coupling of these data and processing services, interoperable distributed system
architectures have been developed. This paper presents a distributed Service Oriented Architecture
(SOA) framework for understanding and managing the production of knowledge from distributed
observations, simulations, and analyses through integrated data-views. Open GIS standards enable us
to develop such a distributed framework by defining the standard common data models and
corresponding web service components. The composability nature of these components has inspired
us to develop a federated information system framework enabling both application-based hierarchical
data definitions and performance enhancing designs.
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