Skip to main content

Methodological Guidelines for Publishing Government Linked Data

  • Chapter
  • First Online:
Linking Government Data

Abstract

Publishing Government Linked Data (and Linked Data in general) is a process that involves a high number of steps, design decisions and technologies. Although some initial guidelines have been already provided by Linked Data publishers, these are still far from covering all the steps that are necessary (from data source selection to publication) or giving enough details about all these steps, technologies, intermediate products, etc. In this chapter we propose a set of methodological guidelines for the activities involved within this process. These guidelines are the result of our experience in the production of Linked Data in several Governmental contexts. We validate these guidelines with the GeoLinkedData and AEMETLinkedData use cases.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 59.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Barrasa, J., Corcho, O., and Gómez-Pérez, A. R2O, an Extensible and Semantically Based Database-to-Ontology Mapping Language. In Second Workshop on Semantic Web and Databases (SWDB2004), 2004.

    Google Scholar 

  2. Bizer, C., Cyganiak, R. and Heath, T. How to publish Linked Data on the Web. Web page, 2007. Revised 2008. Accessed 01/01/2011.

    Google Scholar 

  3. Volz, J., Bizer, C., Gaedke, M., Kobilarov, G.: Discovering and Maintaining Links on the Web of Data. In: Bernstein, A., Karger, D. (eds.) The Semantic Web - ISWC 2009, pp. 731–746. Springer, Heidelberg (2009)

    Google Scholar 

  4. Cyganiak, R., Maali, F. and Peristeras, V. Self-service linked government data with dcat and gridworks. In Proceedings of the 6th International Conference on Semantic Systems, I-SEMANTICS ’10, pages 37:1–37:3, New York, NY, USA, 2010. ACM.

    Google Scholar 

  5. Haase, P., Rudolph, S., Wang, Y., Brockmans, S., Palma, R., Euzenat, J. and d’Aquin, M. Networked Ontology Model. Technical report, NeOn project deliverable D1.1.1, 2006.

    Google Scholar 

  6. Hausenblas, M., Halb,W., Raimond, Y., Feigenbaum, L. and Ayers, D. SCOVO: Using Statistics on the Web of Data. In ESWC, volume 5554 of LNCS, pages 708–722. Springer, 2009.

    Google Scholar 

  7. Heath, T. and Bizer, C. Linked Data: Evolving the Web into a Global Data Space, volume 1. Morgan & Claypool, 2011.

    Google Scholar 

  8. Hogan, A., Harth, A., Passant, A., Decker, S. and Polleres, A. Weaving the Pedantic Web. In Linked Data on the Web Workshop (LDOW2010) at WWW’2010, 2010.

    Google Scholar 

  9. Kimball, R. and Caserta, J. The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleanin. John Wiley & Sons, 2004.

    Google Scholar 

  10. Maali, F. and Cyganiak, R. Re-using Cool URIs : Entity Reconciliation Against LOD Hubs. Library, 2011.

    Google Scholar 

  11. Montiel-Ponsoda, E., Vila-Suero, D., Villazón-Terrazas, B., Dunsire, G., Rodríguez, E.E. and Gómez-Pérezi, A. Style Guidelines for Naming and Labeling Ontologies in the Multilingual Web. In Proceedings of the 2011 International Conference on Dublin Core and Metadata Applications, DCMI ’11. Dublin Core Metadata Initiative, 2011.

    Google Scholar 

  12. Ngonga Ngomo, A.-C. and Auer, S. Limes - a time-efficient approach for large-scale link discovery on the web of data, 2011.

    Google Scholar 

  13. Nikolov, A. and dAquin, M. Identifying Relevant Sources for Data Linking using a Semantic Web Index. Search, 2011.

    Google Scholar 

  14. Oren, E., Delbru, R. and Decker, S. Extending faceted navigation for RDF data. In ISWC, pages 559–572, 2006.

    Google Scholar 

  15. Sauermann, L., Cyganiak, R., Ayers, D. and Volkel, M. Cool URIs for the semantic web. Interest Group Note 20080331, W3C. Web page, 2008.

    Google Scholar 

  16. I. E. E. E. Computer Society, Sponsored B. The, and Software Engineering Standards Committee. IEEE Recommended Practice for Software Requirements Specifications IEEE Std 830–1998. Technical report, 1998.

    Google Scholar 

  17. Sommer, G.G. The World of E-Government. Haworth Press, January 2005.

    Google Scholar 

  18. Suárez-Figueroa, M.C. NeOn Methodology for Building Ontology Networks: Specification, Scheduling and Reuse. PhD thesis, Facultad de Informática, Universidad Politécnica de Madrid, Madrid, Spain, 2010.

    Google Scholar 

  19. Suarez-Figueroa, M.C, and Gómez-Pérez, A. NeOn Methodology for Building Ontology Networks: a Scenario-based Methodology. In (S3T 2009), 2009.

    Google Scholar 

  20. Taylor, J. Project Scheduling and Cost Control: Planning, Monitoring and Controlling the Baseline, volume 1. J. Ross Publishing, 2008.

    Google Scholar 

  21. Vilches-Blázquez, L.M., Gargantilla, J.A.R., López-Pellicer, F.J., Corcho, O., and Nogueras-Iso, J. An Approach to Comparing Different Ontologies in the Context of Hydrographical Information. In IF&GIS, pages 193–207, 2009.

    Google Scholar 

  22. Villazón-Terrazas, B., Suárez-Figueroa, M.C. and Gómez-Pérez, A. A Pattern-Based Method for Re-Engineering Non-Ontological Resources into Ontologies. International Journal on Semantic Web and Information Systems, 6(4):27–63, 2010.

    Article  Google Scholar 

  23. W3C. Publishing Open Government Data. W3C Working Draft. Web page, 2009.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Boris Villazón-Terrazas .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Villazón-Terrazas, B., Vilches-Blázquez, L.M., Corcho, O., Gómez-Pérez, A. (2011). Methodological Guidelines for Publishing Government Linked Data. In: Wood, D. (eds) Linking Government Data. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1767-5_2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-1767-5_2

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-1766-8

  • Online ISBN: 978-1-4614-1767-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics