AIC Seminar Series

Geographic applications require increasingly accurate data, for example for high fidelity simulations. However, information about data accuracy is typically not directly available, and must instead be inferred from the manner in which the data was acquired and processed. Some of the inaccuracies arise as subtle side-effects of processing steps, such as transformation errors due to WGS84 epochs or unintentional downsampling due to pixel overlap, that are known only to a small number of experts. In order to address this problem, we formalize the properties of each piece of data and its processing history in a geographic ontology, and use declarative SWRL rules to calculate the errors relative to the real world or to other data. Since the impact of these errors depends on the purpose for which the data is to be used, purpose-dependent requirements are described using an additional task ontology and evaluated by our task analyzer software. The geographic ontology combines knowledge from different areas of expertise, and our formal implementation makes it available for the community to use, critique, and augment.

This is joint work with Daniel Elenius, Computer Scientist in CSL, for the ANSC project at SRI.

Dr. Susanne Riehemann is a Software Development Engineer in the Engineering and Systems Division at SRI. She develops various terrain products at SRI’s Geovisualization Center and also works on terrain ontologies for the ONISTT project.

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