Abstract
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.
Chapter PDF
Similar content being viewed by others
References
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)
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)
Chebotko, A., Lu, S., Fotouhi, F.: Semantics preserving SPARQL-to-SQL translation. Data & Knowledge Engineering 68(10), 973–1000 (2009)
Das, S., Sundara, S., Cyganiak, R.: R2RML: RDB to RDF mapping language (2012)
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)
Prud’hommeaux, E., Buil-Aranda, C.: SPARQL 1.1 federated query. World Wide Web Consortium, Proposed Recommendation (November 2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Priyatna, F., Aranda, C.B., Corcho, O. (2013). Applying SPARQL-DQP for Federated SPARQL Querying over Google Fusion Tables. In: Cimiano, P., Fernández, M., Lopez, V., Schlobach, S., Völker, J. (eds) The Semantic Web: ESWC 2013 Satellite Events. ESWC 2013. Lecture Notes in Computer Science, vol 7955. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41242-4_22
Download citation
DOI: https://doi.org/10.1007/978-3-642-41242-4_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41241-7
Online ISBN: 978-3-642-41242-4
eBook Packages: Computer ScienceComputer Science (R0)