Critical Remarks on the Use of Conceptual Schemas in Geospatial Data Modelling—A Schema Translation Perspective

Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)


Conceptual schemas are widely used in geospatial data modelling. This paper takes a close look at some schemas prevalent in the context of existing spatial data infrastructures as e.g. INSPIRE and identifies problems which occur when trying to apply the Model Driven Architecture (MDA) approach to these schemas. Applications of the MDA approach in the geospatial domain such as schema translation and automatic derivation of transfer formats from conceptual schemas are described. With these applications in mind, suggestions for enhancing existing schemas and for defining new schemas are made.


Conceptual schemas Data modelling Schema translation UML MDA INSPIRE 


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The authors gratefully acknowledge the support of the TUM Graduate School’s Faculty Graduate Center Civil Geo and Environmental Engineering at Technische Universität München, Germany.


  1. AdV (2009) Documentation on the Modelling of Geoinformation of Official Surveying and Mapping in Germany (GeoInfoDoc), Version 6.0.1.Google Scholar
  2. AdV (2010) The AFIS-ALKIS-ATKIS Application Schema, Accessed 21 October 2011.
  3. Czarnecki K, Helsen S (2006) Feature-based survey of model transformation approaches. IBM Systems J 45: 621-645. doi:  10.1147/sj.453.0621.
  4. Donaubauer A, Straub F, Schilcher M (2007) mdWFS: A Concept of Web-enabling Semantic Transformation. Proc of the 10th AGILE Conference on Geographic Information Science, Aalborg.Google Scholar
  5. EGN (2011) EuroGeoNames. Accessed 21 October 2011.
  6. European Commission (2009) Commission Regulation (EC) No 976/2009 of 19 October 2009 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards the Network Services. Official J L 274: 9-18.Google Scholar
  7. European Parliament and Council (2007) Directive 2007/2/EC of the European Parliament and Council of 14 March 2007 establishing an Infrastructure for Spatial Information in the European Community (INSPIRE). Official J of the European Union 50(L 108): pp. 1-14.Google Scholar
  8. Breutmann B, Falkenberg E, Mauer R (1979) CSL: A Language for Defining Conceptual Schemas. In: Bracci, Nijssen (Eds) Data Base Architecture (IFIP), pp. 337–356?Google Scholar
  9. Gnägi H R, Morf A and Staub P (2006) Why and how to define transformations of conceptual models? 9th AGILE International Conference on Geographic Information Science, Visegrad.Google Scholar
  10. ISO (2002) Geographic information – Reference model. ISO 19101:2002.Google Scholar
  11. ISO (2003) Geographic information –Metadata. ISO 19115:2003.Google Scholar
  12. ISO (2005) Geographic information – Conceptual schema language. ISO 19103:2005.Google Scholar
  13. JRC (2010a) D2.8.1.9 INSPIRE Data Specification on Protected sites – Guidelines.Google Scholar
  14. JRC (2010b) D2.8.1.3 INSPIRE Data Specification on Geographical names – Guidelines.Google Scholar
  15. JRC (2010c) D2.8.1.4 INSPIRE Data Specification on Administrative units – Guidelines.Google Scholar
  16. JRC (2010d) D2.7: Guidelines for the encoding of spatial data, version 3.2.Google Scholar
  17. Kleppe A, Warmer J, Bast W (2003) MDA Explained: The Model Driven Architecture: Practice and Promise. Pearson Education, Boston.Google Scholar
  18. KOGIS (2006) INTERLIS Version 2 – Reference Manual. Wabern.Google Scholar
  19. Kutzner and Eisenhut (2010) Vergleichende Untersuchungen zur Modellierung und Modelltransformation in der Region Bodensee im Kontext von INSPIRE. Technische Universität München.Google Scholar
  20. Metzger A (2005) A Systematic Look at Model Transformations. In: Beydeda S, Book M, Gruhn, V (eds.) Model-Driven Software Development. Springer, Berlin Heidelberg, pp 19-34.Google Scholar
  21. OMG (2003) MDA Guide Version 1.0.1. Accessed 21 October 2011.
  22. OMG (2010) OMG Unified Modeling Language (OMG UML), Superstructure, Version 2.3.Google Scholar
  23. Reitz T, Schäffler U, Klien E, Fitzner D (2010) Efficient Conceptual Schema Translation for Geographic Vector Data Sets. 13th AGILE International Conference on Geographic Information Science, Guimarães.Google Scholar
  24. Staub P (2009) Über das Potenzial und die Grenzen der semantischen Interoperabilität von Geodaten. Dissertation, ETH Zürich.Google Scholar
  25. Staub P, Gnägi H R, Morf A (2008) Semantic Interoperability through the Definition of Conceptual Model Transformations. Transactions in GIS 12: pp. 193-207.Google Scholar
  26. Waters R, Beare M, Walker R, Millot M (2011) Schema Transformation for INSPIRE. Int J of Spatial Data Infrastructures Research 6: pp. 1-22.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Fachgebiet Geoinformations systemeTechnische Universität MünchenMunichGermany

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