Geomatics and Environmental Engineering, vol. 14, no. 3

Issue

Vol. 14 No. 3 (2020): Geomatics and Environmental Engineering

Date Log

Submitted
Jan 27, 2020
Accepted
Mar 17, 2020
Published
Sep 21, 2020
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Semantic and Syntactic Interoperability Issues in the Context of SDI

https://doi.org/10.7494/geom.2020.14.3.5
Agnieszka Chojka
University of Warmia and Mazury in Olsztyn, Faculty of Geoengineering, Institute of Geodesy and Civil Engineering, Department of Geoinformation and Cartography, Olsztyn
https://orcid.org/0000-0002-9567-1848

Corresponding Author(s) : Agnieszka Chojka

agnieszka.chojka@uwm.edu.pl

Geomatics and Environmental Engineering, Vol. 14 No. 3 (2020): Geomatics and Environmental Engineering

Abstract

Interoperability is one of the core concepts of Spatial Data Infrastructure due to the fact that exchange and access to spatial data is the foremost aim of any SDI. These issues are closely related to the concept of application schema that plays a significant role in interchanging spatial data and information across SDI. It is the basis of a successful data interchange between two systems as it defines the possible content and structure of data, thus it covers both semantic and syntactic interoperability. These matters also appear in a couple of questions concerning SDI including, among others, a model‑driven approach and data specifications.
Spatial data exchange through SDI involves UML and GML application sche­mas that comprise semantic and syntactic interoperability respectively. How­ever, working out accurate and correct application schemas may be a challenge. Moreover, their faultiness or complexity may influence the ability to valid data interchange.
The principal subject of this paper is to present the concept of interoperability in SDI, especially semantic and syntactic, as well as to discuss the role of UML and GML application schemas during the interoperable exchange of spatial data over SDI. Considerations were conducted focusing on the European SDI and the National SDI in Poland.

Keywords

application schema data exchange semantic interoperability syntactic interoperability UML GML
Chojka, A. (2020). Semantic and Syntactic Interoperability Issues in the Context of SDI. Geomatics and Environmental Engineering, 14(3), 5–20. https://doi.org/10.7494/geom.2020.14.3.5
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX
References
  1. CEN/TR 15449-1 Geographic information – Spatial data infrastructures – Part 1: Reference model. Brussels, Belgium, 2012.
  2. Longley P.A., Goodchild M.F., Maguire D.J., Rhind D.W.: Geographic Information. Systems and Science. John Wiley & Sons, Inc., USA, 2011.
  3. Directive 2007/2/EC of the European Parliament and of the Council of 14 March 2007 establishing an Infrastructure for Spatial Information in the European Community (INSPIRE). Official Journal of the European Union, L 108/1.
  4. ISO 19118:2011 Geographic information – Encoding. Geneva, Switzerland, 2011.
  5. Definition of Interoperability. Healthcare Information and Management Systems Society (HIMSS), Chicago, USA, 2013.
  6. Dictionary of Military and Associated Terms. Department of Defense, Washington, USA, 2017.
  7. Glossary. Federal Emergency Management Agency, Washington, USA, 2017.
  8. IEEE Standard Glossary of Software Engineering Terminology. The Institute of Electrical and Electronics Engineers, New York, USA, 1990.
  9. ISO/IEC 2382-1:1993 Information technology – Vocabulary – Part 1: Fundamental terms, Geneva, Switzerland, 1993.
  10. ISO 19101-1:2014 Geographic Information – Reference model – Part 1: Fundamentals. Geneva, Switzerland, 2014.
  11. Bishr A.Y, Pundt H., Kuhn W., Radwan M.: Probing the Concept of Information Communities – A First Step Toward Semantic Interoperability. Interoperating Geographic Information Systems. [in:] Goodchild M., Egenhofer M., Fegeas R., Kottman C. (eds.), Interoperating Geographic Information Systems, The Springer International Series in Engineering and Computer Science, vol. 495, Springer, Boston, MA, pp. 55–69.
  12. Tóth K., Portele C., Illert A., Lutz M., Nunes de Lima V.: A Conceptual Model for Developing Interoperability Specifications in Spatial Data Infrastructures. JRC Reference Reports, Ispra, Italy, 2012.
  13. EIF and IDA eLink: advancing e government interoperability at pan European level. IDA Report. Interchange of Data between Administrations (IDA) Reports 21, European Commission, 2004.
  14. Interoperable Delivery of European eGovernment Services to public Administrations, Business and Citizens. Community programme managed by the European Commission’s Directorate General for Informatics, 2009.
  15. European Interoperability Framework – Implementation Strategy. Annex 2 to the Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. COM (2017) 134 final, European Commission, Brussels, 2017.
  16. Rozporządzenie Rady Ministrów z dnia 12 kwietnia 2012 r. w sprawie Krajowych Ram Interoperacyjności, minimalnych wymagań dla rejestrów publicznych i wymiany informacji w postaci elektronicznej oraz minimalnych wymagań dla systemów teleinformatycznych. Dz.U. 2012 poz. 526.
  17. Tolk A., Muguira J.A.: The Levels of Conceptual Interoperability Model (LCIM). [in:] 2003 Fall Simulation Interoperability Workshop, Orlando, Florida, September 2003, 03F-SIW-007, IEEE CS Press, 2003.
  18. Turnitsa C.D.: Extending the Levels of Conceptual Interoperability Model. [in:] Summer Computer Simulation Conference 2005 (SCSC’05), Society for Modeling & Simulation International, 2005, pp. 479–487.
  19. Krishnamurthy R.S., St. Louis M.E.: Informatics and the Management of Surveillance Data. [in:] Lee L.M., Teutsch S.M., Thacker S.B., St. Louis M.E. (eds.), Principles and Practice of Public Health Surveillance, 3rd ed., Oxford University Press, New York, USA, 2010, pp. 65–87.
  20. Schenck D.A., Wilson P.R.: Information Modeling the EXPRESS Way. 1st ed. Oxford University Press, New York, USA, 1994.
  21. CEN/TR 15449-2:2012 Geographic information – Spatial data infrastructures – Part 2: Best practices. Brussels, Belgium, 2012.
  22. CEN/TR 15449-3:2012 Geographic information – Spatial data infrastructures – Part 3: Data centric view. Brussels, Belgium, 2012.
  23. CEN/TR 15449-4:2013 Geographic information – Spatial data infrastructures – Part 4: Service centric view. Brussels, Belgium, 2013.
  24. CEN/TR 15449-5:2015 Geographic information – Spatial data infrastructures – Part 5: Validation and testing. Brussels, Belgium, 2015.
  25. Object Management Group, Model Driven Architecture (MDA), MDA Guide rev. 2.0, 2014.
  26. ISO 19103:2015 Geographic information – Conceptual schema language. Geneva, Switzerland, 2015.
  27. ISO 19109:2015 Geographic information – Rules for application schema. Geneva, Switzerland, 2015.
  28. ISO 19136:2007 Geographic information – Geography Markup Language (GML). Geneva, Switzerland, 2007.
  29. ISO 19131:2007 Geographic information – Data product specifications. Geneva, Switzerland, 2007.
  30. Chojka A.: Niejednoznaczność transformacji UML-GML [UML-GML Transformation Ambiguity]. Roczniki Geomatyki [Annals of Geomatics], vol. 11, no. 1 (58), 2013, pp. 21–33.
  31. Nebert D.D. (ed.): Developing Spatial Data Infrastructures: The SDI Cookbook. Version 2.0, GSDI, 2004.
Read More
Author biographies is not available.
Download this PDF file
PDF
Statistic
Read Counter : 164 Download : 152

Downloads

Download data is not yet available.