Advertisement

Heterogeneous Data Integration Using Web of Data Technologies

  • Danielle Ziébelin
  • Kim Hobus
  • Philippe Genoud
  • Sylvain Bouveret
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10181)

Abstract

The Coordinated Online Information Network (COIN) is a spatial data infrastructure (SDI) which provides an online network of resources to share, use and integrate information of geographic locations in North Canada. COIN incorporates semantic web technology that integrates, publishes and visualizes time series water data allowing users to access a multitude of datasets in order to compare the data and draw conclusions. COIN utilizes a number of standards from OGC (Open Geospatial Consortium) and W3C (Resource Description Framework, RDF, Web Ontology Language OWL, SPARQL query language for RDF) and GeoSPARQL for geospatial query). COIN benefits from generic ontologies transforming data into semantics, enriching data sets and making the data available and interoperable via WFS and WMS standards. These principles facilitate publication and exchange of data across the web, increasing transparency and interpretability. Through modernized data submission and retrieval we hope to break down the silos of data, allowing users to visualize time series water quality and hydrometric data from multiple sources to increase knowledge in relationship to impacts on Yukon water.

References

  1. 1.
    Cyganiak, B., Wood, D., Lanthaler, M.: RDF 1.1 Concepts and Abstract Syntax. W3C Recommendation (2014). http://www.w3.org/tr/rdf11-concepts/. Accessed 25 Feb 2014
  2. 2.
    Brickley, D., Guha, R.V.: RDF vocabulary description language 1.0: RDF Schema. W3C Recommendation (2004). http://www.w3.org/tr/rdf-schema/. Accessed 10 Feb 2004
  3. 3.
    Hitzler, P., Krötzsch, M., Parsia, B., Patel-Schneider, P.F., Rudolph, S.: OWL 2 Web Ontology Language Primer (2nd edn.). W3C Recommendation (2012). http://www.w3.org/tr/owl2-primer/. Accessed 11 Dec 2012
  4. 4.
  5. 5.
  6. 6.
    W3C linked Data CookbookGoogle Scholar
  7. 7.
    Bizer, C., Heath, T., Berners-Lee, T.: Linked data – the story so far. Int. J. Semant. Web Inf. Syst. 5(3), 1–22 (2009)CrossRefGoogle Scholar
  8. 8.
    OGC Standard: New generation sensor web enablement. Sensors 11(3), 2652–2699 (2011)Google Scholar
  9. 9.
    OGC Standard. Sensor Observation Service (2008). Accessed 29 Oct 2008Google Scholar
  10. 10.
  11. 11.
  12. 12.
  13. 13.
  14. 14.
    Lim, D., Smol, J., Douglas, M.: Recent environmental changes on Banks Island (N.W.T., Canadian Arctic) quantified using fossil diatom assemblages. J. Paleolimnol. 40(1), 385–398 (2008)CrossRefGoogle Scholar
  15. 15.
    Bizer, C., Heath, T., Berners-Lee, T.: Linked data - the story so far. Int. J. Semant. Web Inf. Syst. 5(3), 1–22 (2009)CrossRefGoogle Scholar
  16. 16.
    Berners-Lee, T.: Linked data – design issues (2006). http://www.w3.org/DesignIssues/LinkedData.html. Revised 2009
  17. 17.
    Open Geospatial Consortium. OGC GeoSPARQL - A Geographic Query Language for RDF Data (2012). https://portal.opengeospatial.org/files/?artifact_id=47664
  18. 18.
    Battle, R., Kolas, D.: GeoSPARQL: enabling a geospatial semantic web with parliament and GeoSPARQL. Semant. Web J. 3(4), 355–370 (2012)Google Scholar
  19. 19.
    Couch, A., Hooper, R., Pollak, J., Martin, M., Seul, M.: Enabling water science at the CUAHSI water data center. In: 7th International Congress on Environmental Modelling and Software, San Diego, California, USA (2014)Google Scholar
  20. 20.
  21. 21.
    W3C Recommendation. http://www.w3.org/TR/sparql11-query/. Accessed Mar 2013
  22. 22.
  23. 23.
    Athanasiou, S., Bezati, L., Giannopoulos, G., Patroumpas, K., Skoutas, D.: Market and Research Overview. GeoKnow Deliverable 2.1.1 (2013)Google Scholar
  24. 24.
    Kyzirakos, K., Karpathiotakis, M., Koubarakis, M.: Strabon: a semantic geospatial DBMS. In: Cudré-Mauroux, P., et al. (eds.) ISWC 2012. LNCS, vol. 7649, pp. 295–311. Springer, Heidelberg (2012). doi: 10.1007/978-3-642-35176-1_19 CrossRefGoogle Scholar
  25. 25.
  26. 26.
  27. 27.
    Patroumpas, K., Giannopoulos, G., Athanasiou, S.: Towards GeoSpatial semantic data management: strengths, weaknesses, and challenges ahead. In: Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Dallas, Texas, USA (2014)Google Scholar
  28. 28.
    Lehmann, J., Isele, R., Jakob, M., Jentzsch, A., Kontokostas, D., Mendes, P.N., Hellmann, S., Morsey, M., van Kleef, P., Auer, S., Bizer, C.: DBpedia – a large-scale, multilingual knowledge base extracted from Wikipedia. Semant. Web J. 6(2), 167–195 (2015)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Danielle Ziébelin
    • 1
  • Kim Hobus
    • 2
  • Philippe Genoud
    • 1
  • Sylvain Bouveret
    • 1
  1. 1.Université Grenoble-Alpes CNRS LIGGrenoble St Martin d’HèresFrance
  2. 2.Yukon Water BoardWhitehorseCanada

Personalised recommendations