Skip to main content

Using Information Visualization to Support Open Data Integration

  • Conference paper
  • First Online:
Data Management Technologies and Applications (DATA 2014)

Abstract

Data integration has always been a major problem in computer sciences. The more heterogeneous, large and distributed the data sources become, the more difficult the data integration process is. Nowadays, more and more information is being made available on the Web. This is especially the case in the Open Data (OD) movement. Large quantities of datasets are published and accessible. Besides size, heterogeneity grows as well: Datasets exist e.g. in different formats and shapes (tabular files, plain-text files and so on). The ability to efficiently interpret and integrate such datasets is of paramount importance for their potential users. Information Visualization may be an important tool to support this OD integration process. This article presents problems which can be encountered in the data integration process, and, more specifically, in the OD integration process. It also describes how Information Visualization can support OD integration process and make it more effective, friendlier, and faster.

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 EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Notes

  1. 1.

    Drupal is a Content Management System which has grown in popularity in the last few years due to its openness, modularity and features [30].

References

  1. Ziegler, P., Dittrich, K.R.: Three decades of data intecration - all problems solved? In: Jacquart, R. (ed.) Building the Information Society, pp. 3–12. Springer, US (2004)

    Chapter  Google Scholar 

  2. Rivero, C.R., Schultz, A., Bizer, C., Ruiz, D.: Benchmarking the performance of linked data translation systems. In: LDOW (2012)

    Google Scholar 

  3. Vander Sande, M., Portier, M., Mannens, E., Van de Walle, R.: Challenges for open data usage: open derivatives and licensing. In: Workshop on Using Open Data (2012)

    Google Scholar 

  4. Houssos, N., Jörg, B., Matthews, B.: A multi-level metadata approach for a Public Sector Information data infrastructure. In: Proceedings of the 11th International Conference on Current Research Information Systems, pp. 19–31 (2012)

    Google Scholar 

  5. Otjacques, B., Cornil, M., Feltz, F.: Using ellimaps to visualize business data in a local administration. In: 2009 13th International Conference on Information Visualisation, pp. 235–240. IEEE (2009)

    Google Scholar 

  6. Rao, R., Card, S.K.: The table lens: merging graphical and symbolic representations in an interactive focus+ context visualization for tabular information. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 318–322. ACM (1994)

    Google Scholar 

  7. Davies, T.: Open data, democracy and public sector reform. A look at open government data use from data.gov.uk (2010)

  8. Janssen, M., Charalabidis, Y., Zuiderwijk, A.: Benefits, adoption barriers and myths of open data and open government. Inf. Syst. Manag. 29(4), 258–268 (2012)

    Article  Google Scholar 

  9. McCusker, J.P., Lebo, T., Chang, C., McGuinness, D.L., da Silva, P.P.: Parallel identities for managing open government data. IEEE Intell. Syst. 27(3), 55 (2012)

    Article  Google Scholar 

  10. Bountouri, L., Papatheodorou, C., Soulikias, V., Stratis, M.: Metadata interoperability in public sector information. J. Inf. Sci. 35, 204–231 (2008)

    Article  Google Scholar 

  11. Edwards, P., Mayernik, M.S., Batcheller, A., Bowker, G., Borgman, C.: Science friction: data, metadata, and collaboration. Soc. Stud. Sci. 0306312711413314 (2011)

    Google Scholar 

  12. Gurstein, M.B.: Open data: empowering the empowered or effective data use for everyone? First Monday 16(2) (2011)

    Google Scholar 

  13. Moreau, L., Groth, P., Miles, S., Vazquez-Salceda, J., Ibbotson, J., Jiang, S., Munroe, S., Rana, O., Schreiber, A., Tan, V., Varga, L.: The provenance of electronic data. Commun. ACM 51(4), 52–58 (2008)

    Article  Google Scholar 

  14. Rehm, G., Uszkoreit, H.: Multilingual Europe: A challenge for language tech. MultiLingual 22(3), 51–52 (2011)

    Google Scholar 

  15. Martin, S., Foulonneau, M., Turki, S., Ihadjadene, M.: Risk analysis to overcome barriers to open data. Electron. J. e-Government 11(2) (2013)

    Google Scholar 

  16. Bizer, C., Heath, T., Berners-Lee, T.: Linked data-the story so far. Int. J. Semant. Web Inf. Syst. 5(3), 1–22 (2009)

    Article  Google Scholar 

  17. Bauer, F., Kaltenböck, M.: Linked Open Data: The Essentials. Mono/monochrom edn., Vienna (2011)

    Google Scholar 

  18. Fox, P., Hendler, J.: Changing the equation on scientific data visualization. Science (Washington) 331(6018), 705–708 (2011)

    Article  Google Scholar 

  19. Duke, D.J., Brodlie, K.W., Duce, D.A., Herman, I.: Do you see what I mean? [Data visualization]. IEEE Comput. Graph. Appl. 25(3), 6–9 (2005)

    Article  Google Scholar 

  20. Reggi, L.: Benchmarking open data availability across Europe: the case of EU structural funds. Eur. J. ePractice 12, 17–31 (2011)

    Google Scholar 

  21. Yu, H., Robinson, D.: The New Ambiguity of ‘Open Government’. Princeton CITP/Yale ISP Working Paper (2012)

    Google Scholar 

  22. Harrison, T.M., Pardo, T.A., Cook, M.: Creating open government ecosystems: a research and development agenda. Future Internet 4(4), 900–928 (2012)

    Article  Google Scholar 

  23. Martin, M., Stadler, C., Frischmuth, P., Lehmann, J.: Increasing the financial transparency of european commission project funding. Semant. Web 5(2), 157–164 (2014)

    Google Scholar 

  24. Zuiderwijk, A., Janssen, M.: Open data policies, their implementation and impact: a framework for comparison. Gov. Inf. Q. 31(1), 17–29 (2014)

    Article  Google Scholar 

  25. Shafranovich, Y.: Common format and MIME type for Comma-Separated Values (CSV) files (2005)

    Google Scholar 

  26. Maali, F., Cyganiak, R., Peristeras, V.: Enabling interoperability of government data catalogues. In: Wimmer, M.A., Chappelet, J.-L., Janssen, M., Scholl, H.J. (eds.) EGOV 2010. LNCS, vol. 6228, pp. 339–350. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  27. Kalampokis, E., Hausenblas, M., Tarabanis, K.: Combining social and government open data for participatory decision-making. In: Tambouris, E., Macintosh, A., de Bruijn, H. (eds.) ePart 2011. LNCS, vol. 6847, pp. 36–47. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  28. Charalabidis, Y., Lampathaki, F., Askounis, D.: Metadata sets for e-government resources: the extended e-government metadata schema (eGMS+). In: Wimmer, M.A., Scholl, H.J., Janssen, M., Traunmüller, R. (eds.) EGOV 2009. LNCS, vol. 5693, pp. 341–352. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  29. Höchtl, J., Reichstädter, P.: Linked open data - a means for public sector information management. In: Andersen, K.N., Francesconi, E., Grönlund, Å., van Engers, T.M. (eds.) EGOVIS 2011. LNCS, vol. 6866, pp. 330–343. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  30. Corlosquet, S., Delbru, R., Clark, T., Polleres, A., Decker, S.: Produce and consume linked data with Drupal!. In: Bernstein, A., Karger, D.R., Heath, T., Feigenbaum, L., Maynard, D., Motta, E., Thirunarayan, K. (eds.) ISWC 2009. LNCS, vol. 5823, pp. 763–778. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  31. The EU Framework Programme for Research and Innovation. http://ec.europa.eu/programmes/horizon2020/en

  32. ICT 2014 - Information and Communications Technologies. http://ec.europa.eu/research/participants/portal/desktop/en/opportunities/h2020/topics/87-ict-15-2014.html

  33. DIRECTIVE 2003/98/EC OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 17 November 2003 on the re-use of public sector information. http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2003:345:0090:0096:EN:PDF

  34. Freedom of Information Act. http://foia.state.gov/

  35. Government of South Australia State Records. http://www.archives.sa.gov.au/foi

  36. Canada’s Action Plan on Open Government. http://data.gc.ca/eng/canadas-action-plan-open-government

  37. AGLS Metadata Standard. http://www.agls.gov.au/

  38. Government Linked Data Working Group Charter. http://www.w3.org/2011/gld/charter

  39. Linking Open Government Data. http://logd.tw.rpi.edu/

  40. Creating Knowledge out of Interlinked Data. http://lod2.eu/Welcome.html

  41. The open source data portal software. http://ckan.org/

  42. Opening up Government. http://data.gov.uk/

  43. Europe’s Public Data. http://publicdata.eu/

  44. Berlin Open Data. http://daten.berlin.de/

  45. DKAN. https://drupal.org/project/dkan

  46. data.gouv.fr, http://www.data.gouv.fr/

  47. ToulouseMetropole.data [données publiques]. http://data.grandtoulouse.fr/

  48. NANTES OUVERTURE DES DONNÉES - ouverture des données publiques. http://data.nantes.fr/accueil/

  49. Strasbourg.eu et Communauté Urbaine. http://www.strasbourg.eu/fr

  50. Arbres dans les parcs de la ville de Versailles. http://www.data.gouv.fr/en/dataset/arbres-dans-les-parcs-de-la-ville-de-versailles-idf

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Paulo Carvalho .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Carvalho, P., Hitzelberger, P., Otjacques, B., Bouali, F., Venturini, G. (2015). Using Information Visualization to Support Open Data Integration. In: Helfert, M., Holzinger, A., Belo, O., Francalanci, C. (eds) Data Management Technologies and Applications. DATA 2014. Communications in Computer and Information Science, vol 178. Springer, Cham. https://doi.org/10.1007/978-3-319-25936-9_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-25936-9_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25935-2

  • Online ISBN: 978-3-319-25936-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics