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WFS 3.0 is a breaking change in the history of OGC data access services. It simplifies core access to spatial data. It follows HATEOAS and simple REST principles and is defined using OpenAPI. Its development is open and all relevant resources are available in a public GitHub repository.
As such, it fits much better with the architecture of current web application architectures and provides an opportunity to make spatial data more accessible to everybody. It is thus also relevant to the INSPIRE community. In our current work, we examine how to reconcile INSPIRE requirements, especially those stemming from the data specifications, with this new standard, and present an implementation of the current WFS 3.0 draft.
Some key innovations in the standard include:
Reduced core and extension modules for complex data structures, rich queries, and custom coordinate reference systems
Multiple Encodings (JSON, HTML, XML, …) for all operations instead of strong coupling to XML
HTTP/HTTPS Protocol consistency and full usage (e.g. caching, resource links)
Compatibility with security standards through use of OpenAPI, OAuth2 and others
WFS 3.0 also does away with the requirement for an XML schema for all feature types. We have discussed how to define an extension module for INSPIRE data specifications, and have analysed which changes to the current INSPIRE encoding guideline would enable an efficient usage of WFS 3.0.
In our project, our objective is to build a high-performance cloud native implementation of WFS 3.0, with a focus on low operation costs, automated scaling and status management. This implementation is built on the GeoRocket and ElasticSearch frameworks, and integrated into wetransform’s cloud platform, hale connect.
Topic Area: [3.1] Making INSPIRE work in 2025 Abstract Type: Oral Presentation
Academic: Yes Data Provider: Yes Data User: Yes INSPIRE Implementer (IT): Yes INSPIRE newbies: No Policy Officers: No Public Administration (MS/Regional/Local): No Thematic specialists: No
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