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Ruben Verborgh

Initial Usage Analysis of DBpedia’s Triple Pattern Fragments

by Ruben Verborgh, Erik Mannens, and Rik Van de Walle

Queryable Linked Data is available through several interfaces, including SPARQL endpoints and Linked Data documents. Recently, the popular DBpedia dataset was made available through a Triple Pattern Fragments interface, which proposes to improve query availability by dividing query execution between clients and servers. In this paper, we present an initial usage analysis of this interface so far. In 4 months time, the server had an availability of 99.999%, handling 4,455,813 requests, more than a quarter of which were served from cache. These numbers provide promising evidence that Triple Pattern Fragments are a viable strategy for live applications on top of public queryable datasets.

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Published in 2015 in Proceedings of the 5th USEWOD Workshop on Usage Analysis and the Web of Data.

Keywords: Linked Data, DBpedia, Triple Pattern Fragments, SPARQL

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Use the BibTeX entry to easily refer to this article, or any of these snippets:

IEEE
R. Verborgh, E. Mannens, and R. Van de Walle, “Initial Usage Analysis of DBpedia’s Triple Pattern Fragments,” in Proceedings of the 5th USEWOD Workshop on Usage Analysis and the Web of Data, 2015.
ACM
Ruben Verborgh, Erik Mannens, and Rik Van de Walle. 2015. Initial Usage Analysis of DBpedia’s Triple Pattern Fragments. In Proceedings of the 5th USEWOD Workshop on Usage Analysis and the Web of Data.
LNCS
Verborgh, R., Mannens, E., Van de Walle, R.: Initial Usage Analysis of DBpedia’s Triple Pattern Fragments. In: Proceedings of the 5th USEWOD Workshop on Usage Analysis and the Web of Data (2015).
APA
Verborgh, R., Mannens, E., & Van de Walle, R. (2015). Initial Usage Analysis of DBpedia’s Triple Pattern Fragments. In Proceedings of the 5th USEWOD Workshop on Usage Analysis and the Web of Data.
MLA
Verborgh, Ruben, Erik Mannens, and Rik Van de Walle. “Initial Usage Analysis of DBpedia’s Triple Pattern Fragments.” Proceedings of the 5th USEWOD Workshop on Usage Analysis and the Web of Data. 2015. Print.

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