Handling and communicating uncertainty in chained geospatial web services


Recent developments in service-oriented and distributed computing have created exciting opportunities for the integration of models in service chains to create the Model Web. This offers the potential for orchestrating web data and processing services, in complex chains; a flexible approach which exploits the increased access to products and tools, and the scalability offered by the Web. However, the uncertainty inherent in data and models must be quantified and communicated in an interoperable way, in order for its effects to be effectively assessed as errors propagate through complex automated model chains. We describe a proposed set of tools for handling, characterizing and communicating uncertainty in this context, and show how they can be used to 'uncertainty- enable' Web Services in a model chain. An example implementation is presented, which combines environmental and publicly-contributed data to produce estimates of sea-level air pressure, with estimates of uncertainty which incorporate the effects of model approximation as well as the uncertainty inherent in the observational and derived data.

Divisions: Engineering & Applied Sciences > Computer Science
Engineering & Applied Sciences > Sustainable environment research group
Engineering & Applied Sciences > Systems analytics research institute (SARI)
Event Title: 9th international symposium on spatial accuracy
Event Type: Other
Event Dates: 2010-07-20 - 2010-07-23
Uncontrolled Keywords: uncertainty propagation,probability,web services
Full Text Link: http://www.spat ... nesAccuracy2010
Related URLs:
PURE Output Type: Conference contribution
Published Date: 2010
Authors: Jones, Richard
Bastin, Lucy (ORCID Profile 0000-0003-1321-0800)
Cornford, Dan (ORCID Profile 0000-0001-8787-6758)
Williams, Matthew

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