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Building INSPIRE workflows without coding using Spatial ETL tools

Dean Hintz, Ken Bragg and Sören Dupke

(Submission #275)


With the wide range of INSPIRE themes and service types, sometimes it can be easy to lose sight of the most important core workflows that many INSPIRE implementations share. This session will examine key INSPIRE workflows from the ground up.

This spatial ETL approach is data centric and systematic, examining solution patterns that support each stage of the data life cycle, from collection through to sharing via web services and APIs, and each critical step in between.

This will include tasks such as locating appropriate source datasets through data discovery, combining data from multiple sources, and performing data quality checks.

Another key step is mapping the schema and geometry structure from typically simpler CAD and GIS relational structures to the more complex object oriented INSPIRE schemas and validating the results.

Finally, methods for publishing the resulting INSPIRE datasets as services will be examined.

The focus of this presentation goes beyond regulatory requirements and seeks to provide a range of web and mobile client friendly services and APIs that will allow consumer applications to easily consume the resultant INSPIRE data. Its this accessibility by the wider community that ultimately provides the value that justifies the considerable effort to build this infrastructure in the first place.

At the end of this session users will have a better understanding of both the workflows and tools needed to construct INSPIRE solutions using spatial ETL tools such as FME, the ESRI Data Interoperability Extension and the con terra INSPIRE Solution Pack for FME.


Topic Area:  [2.4] Technical standards: Challenges and approaches to the standardization of spatial data and services
Abstract Type:  Workshop


[Workshop Description (DOC)]  

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