Out of the UML box: Intuitive and Data-driven Modelling Tools for INSPIRE
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1 Out of the UML box: Intuitive and Data-driven Modelling Tools for INSPIRE Thorsten Reitz, wetransform GmbH INSPIRE Conference 2017, Strasbourg, France
2 Is UML bad? Observations: UML is a very powerful modelling language that is hard to master Implications of modelling decisions (association type, re-use of existing structures) are not transparent Large models are hard to navigate Long cycle from conceptual design to implementation Implementation discontinuities #2 INSPIRE Conference 2017, Strasbourg, France
3 A new generation of Modelling Tools Objectives: Continuous improvement in small iterations Enable data-driven design decisions Get design feedback as soon as possible Lower entrance barrier to casual users Uses UML as metamodel Model Use Transform #3 INSPIRE Conference 2017, Strasbourg, France
4 When should you care? Evolution of a Data Model Easy creation model extensions Definition of Profiles Rapid Prototyping and Evaluation #4 INSPIRE Conference 2017, Strasbourg, France
5 Iterative Design One baby step at a time #5 INSPIRE Conference 2017, Strasbourg, France
6 Applying Agile to Modelling #6 INSPIRE Conference 2017, Strasbourg, France
7 Ingredients of an Agile Standardisation Process Model-driven No Schema Language Mismatches between steps Data-driven Inform every step with real-world data Usage-driven Instantly validate data fitness-for-purpose Collaboration Versioning, Forking Comments, Tasks, Notes Accessible Model Change Transformation Change Service Change Usage Change #7 INSPIRE Conference 2017, Strasbourg, France
8 Model KPIs You can only improve what you can measure #8 INSPIRE Conference 2017, Strasbourg, France
9 Overall Methodology Create a Factual basis for design changes in future iterations Analyse Schemas Compare Schemas Analyse Data Create Hypotheses Test Hypotheses Document Recommendations #9 INSPIRE Conference 2017, Kehl, Germany
10 Schema and Data Analysis element depth use of base types reference types use of choices and substitutions constructs statistics of property type and occurrences statistics of frequently used concepts like Voidable, UnitOfMeasure statistics on geometry properties usage Schema coverage through known data sets Structural Overhead in encoding #10 INSPIRE Conference 2017, Kehl, Germany
11 Schema Analysis: Example #11 INSPIRE Conference 2017, Kehl, Germany
12 Lower Entrance Barriers Extensions for a five year old #12 INSPIRE Conference 2017, Strasbourg, France
13 Easy INSPIRE Extensions Touch-friendly View Based on UML Model Recommendation Engine Easy re-use of components of other schemas/models Supports subset of UML/XSD concepts Classes, Choices, Enumerations Inheritance, Aggregation, Reference #13 INSPIRE Conference 2017, Kehl, Germany
14 Recommendation and Patterns Provide suggestions Automatically implement modelling patterns #14 INSPIRE Conference 2017, Kehl, Germany
15 Example Project: BKG Fitness for Purpose Study Concrete Recommendation to improve the Data Specifications #15 INSPIRE Conference 2017, Strasbourg, France
16 Identified Problems by Use Case Data Management OO vs. Layers OO vs. RDBMS/ODBMS Data Harmonisation Missing Codelists Semantic mismatches (classification) Semantic ambiguity Networks/Topologies Data Exchange Resolution of file-external references Support for dataset fragments Data Analysis Complex attribute structures Multiple geometries per layer Data Portrayal Nested properties Code list references Complex geometry model (Building) leastdetailedviewingresoluti on Data Publishing GetFeatureInfo and complex schemas Some geometries and constructs not supported #16 INSPIRE Conference 2017, Kehl, Germany
17 (Some) Recommendations Flatten some structures where cardinality is usually 1 Simplify attributes representing measures and remove obligation to provide UnitOfMeasure for attributes that are Voidable Simplify xs:choice elements in data models Reduce use of substitution groups Avoid features with multiple geometry attributes Provide middleware to support alternative encodings Provide code list references in XML Application Schemas Provide alternative data models for View Services Use alternative logical models for specific elements #17 INSPIRE Conference 2017, Kehl, Germany
18 Questions? Feedback? #18 wetransform HTGF
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