Applying SPARQL-DQP for Federated SPARQL Querying over Google Fusion Tables

  • Freddy Priyatna
  • Carlos Buil Aranda
  • Oscar Corcho
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7955)


Google Fusion Tables (GFT) is a data management, integration and visualization service provided by Google. Users can upload their structured data, integrate it with other people’s data, and visualize it on various tools provided, such as Google Maps, charts or graphs. Every GFT table constitutes a data silo that is not commonly linked to other data sources. A way to enable data to be linked and reused is by exposing it as (virtual) RDF dataset (for instance, using R2RML) and to query it using SPARQL. In this work, we present a system that exposes GFT tables as SPARQL endpoints, enabling federated SPARQL queries with data from other SPARQL endpoints.


Google Fusion Tables SPARQL DQP R2RML 


  1. 1.
    Nedim Alpdemir, M., Mukherjee, A., Gounaris, A., Paton, N.W., Watson, P., Fernandes, A.A.A., Fitzgerald, D.J.: OGSA-DQP: A service for distributed querying on the grid. In: Bertino, E., Christodoulakis, S., Plexousakis, D., Christophides, V., Koubarakis, M., Böhm, K. (eds.) EDBT 2004. LNCS, vol. 2992, pp. 858–861. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  2. 2.
    Buil-Aranda, C., Arenas, M., Corcho, O.: Semantics and optimization of the SPARQL 1.1 federation extension. In: Antoniou, G., Grobelnik, M., Simperl, E., Parsia, B., Plexousakis, D., De Leenheer, P., Pan, J. (eds.) ESWC 2011, Part II. LNCS, vol. 6644, pp. 1–15. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  3. 3.
    Chebotko, A., Lu, S., Fotouhi, F.: Semantics preserving SPARQL-to-SQL translation. Data & Knowledge Engineering 68(10), 973–1000 (2009)CrossRefGoogle Scholar
  4. 4.
    Das, S., Sundara, S., Cyganiak, R.: R2RML: RDB to RDF mapping language (2012)Google Scholar
  5. 5.
    Gonzalez, H., Halevy, A., Jensen, C.S., Langen, A., Madhavan, J., Shapley, R., Shen, W.: Google fusion tables: data management, integration and collaboration in the cloud. In: Proceedings of the 1st ACM Symposium on Cloud Computing, pp. 175–180. ACM (2010)Google Scholar
  6. 6.
    Prud’hommeaux, E., Buil-Aranda, C.: SPARQL 1.1 federated query. World Wide Web Consortium, Proposed Recommendation (November 2012)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Freddy Priyatna
    • 1
  • Carlos Buil Aranda
    • 2
  • Oscar Corcho
    • 1
  1. 1.Ontology Engineering Group, Facultad de InformáticaUPMSpain
  2. 2.Department of Computer SciencePUCChile

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