4.7.2 Go over the data components and describe needs

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4.1 Introduction

4.1.1 Goal and scope of course
4.1.2 Pre-requisites: knowledge of OO-modeling, DBMS DDL/SQL and/or XML schema, specific domain/theme
4.1.3 Introduction of participants & teachers
4.1.4 Tools
4.1.5 Organization of course
4.1.6 Course reading material
4.1.7 Purpose IM: 1. enable communication, 2. built system
4.1.8 Inventory of participants' most favorite domains/themes

4.2 UML Class diagram

4.2.1 Basic principles
4.2.2 Advanced principles

4.3 Hands-on 1: basic tools

4.3.1 Explanation of initial model assignment
4.3.2 Create UML class diagram for model with 3 or 4 classes
4.3.3 Define database tables for these objects (by hand)
4.3.4 Create XML schema for these objects (by hand?)
4.3.5 Evaluation of the results
4.3.6 Use of Enterprise Architect

4.4 Frameworks

4.4.1 OGC/ISO/CEN/NEN
4.4.2 Focus on INSPIRE Generic Conceptual Model
4.4.3 GII context
4.4.4 Generic aspects: id's, references, time,etc
4.4.5 Reusable model patterns:
4.4.5.1 Topology (linear networks, partitions)
4.4.5.2 Observation data - resulting objects
4.4.5.3 Spatial object - relationship - person
4.4.6 Generic models, e.g. the 34 themes of INSPIRE

4.5 Methodology

4.5.1 User requirements, use cases
4.5.2 Inventory of available related data sets
4.5.3 Analyze the differences (data components, checklists)
4.5.4 Take initial decisions and develop model:
4.5.4.1 UML class diagram (with attributes, associations)
4.5.4.2 F&A catalogue with descriptions
4.5.4.3 Specific data types (enummerations, code lists and values)
4.5.5 Cost-benefit analysis
4.5.6 Review with stakeholders (and revise if needed)
4.5.7 Test model, develop prototype data (and revise if needed)

4.6 Example Information Model

4.6.1 xx
4.6.2 Real world example from INSPIRE cadastral parcels
4.6.3 Link to ISO 19152 LADM
4.6.4 In total 8 Categories of use cases identified
4.6.5 Closer look at 2 use cases
4.6.6 Check list with summary of all use cases
4.6.7 Conflicts of interest, feasibility
4.6.8 Vision within a model (growing options)
4.6.8.1 Optional elements (objects, attributes, associations,...)
4.6.8.2 Advanced geometries (3D, non-linear,...)
4.6.8.3 Multi-scale/representations vs. vario-scale

4.7 Hands-on 2: own model

4.7.1 Identify and create two use case descriptions
4.7.2 Go over the data components and describe needs
4.7.3 Explore information content
4.7.4 Analyze differences between needs and availables
4.7.5 Develop UML class diagram for your UML model

4.8 Implement the model

4.8.1 OMG MDA principles PIM, PSM
4.8.2 Generate implementations
4.8.3 Generic PIM - Specific PIM
4.8.3.1 - PSM1 (PostgreSQL/PostGIS) - SQL/DDL
4.8.3.2 - PSM2 (XML/GML schema) - XSD
4.8.3.3 - PSM3...
4.8.4 Run SQL/DDL within DBMS to set up model, load/create data
4.8.5 Generate XML/GML according to XSD

4.9 Adding more semantics

4.9.1 Add business rule, i.e. constraints on the data within the model
4.9.2 Classification main categories of constraint types
4.9.3 Describe in natural text using the literal entities from UML class diagrams (classes, attributes, associations)
4.9.4 Formalize the constraints into OCL (object constraint language)
4.9.5 Implementation/use of constraints ? non trivial
4.9.6.1 DBMS: either constraints views selection violations or triggers and procedures (heavy transform)
4.9.6.2 XML/XSD: literal encoding of OCL string

4.10 Hands-on 3: convert model

4.10.1 Convert model from hands-on 1 to SQL/DDL
4.10.2 Load the script into the DBMS
4.10.3 Insert data and perform some queries
4.10.4 Convert model to XML schema and inspect resulting XSD
4.10.5 Create XML data document from DBMS export to XML
4.10.6 Validate XML data against XML schema (optional)
4.10.7 Same steps as above but now for own model of hands-on 2 (with spatial data), manual corrections...

4.11 Conclusion

4.11.1 Summarize main points
4.11.2 Presentation of participants' hands-on result
4.11.3 Additional tips&tricks
4.11.4 National modeling activities (NEN3610+IMxx)
4.11.5 Discussion on model mapping
4.11.6 Further reading/studying
4.11.7 Evaluation by participants


Exercise:

Describe for the use cases the specific needs regarding data-interoperability. For this exercise a few aspects are only pre-defined. One is free to add other aspects.

Use the following table structure:

 

Data interoperability

component

Use case requirements
context Main characteristics of the use case (domain, level of detail, geographic extent, etc.)
terminology Which concepts are required and are now all ready know?
reference models Are there reference models that are used or defined. Examples are ISO 19100 series, for the Netherlands the basemodel NEN3610.
coordinate referencing Which coordinate reference system is used?
indentifier management

Are identifiers required?

Must identifiers be unique?

Must identifiers be stable over time?

other?

spatial aspects


Dimensionality (1d, 2d 3d)

Multiple geometry: objects with more than one geometry. Give examples.

Shared geometry: can geometries be shared by different objects?

topology

Are topological relations needed?

For what purpose? Data consistency, network calculations (for navigating)

et cetera

 
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