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Out of the UML box: Intuitive and Data-driven Modelling Tools for INSPIRE

Thorsten Reitz, Andreas von Dömming and Anja Hopfstock

(Submission #291)


Abstract

One of the big debates surrounding INSPIRE in 2017 centers of the fitness for purpose of the INSPIRE data specifications. Two aspects are in the center of that debate:

In the past year, we’ve worked with several partners and customers to build methodologies and technologies to bring concrete facts into the discussion, and to improve the usability of the existing specifications. One of these activities is the INSPIRE Extensions platform. In this talk, we will highlight the latest planned work of using intuitive modelling tools, e.g. for quick creation of INSPIRE Extensions that fully cover use cases. Such tools improve the usability of the data specifications and make it much easier to reach full use case compliance.

We will also explain how we worked with the German BKG to identify and quantify recommendations for potential changes to the INSPIRE data specifications, to identify optimization potentials. The scope of that project was to develop proposals where the INSPIRE Implementing Rules or Technical Guidance should be amended to ensure the interoperability of spatial data sets and services with reasonable efforts for the authorities concerned. The proposals should include concrete references to alternative encoding and simplifications (e.g., multiplicity, voidable, flattening, data type).

To base the recommendations on a concrete, factual basis, we analysed the data models of five INSPIRE Themes (Buildings, Species distribution, Environmental monitoring facilities, Utility and governmental services and Natural risk zones). We specifically looked for patterns that would be problematic for use cases such as Data Management, Data Exchange, Data Transformation, Data Analysis in a Desktop GIS and Data Publishing through INSPIRE Services.

Categories

Topic Area:  [3.1] Fostering “Fitness for purpose”
Abstract Type:  Oral Presentation

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