Interactive Comparison of Triple Pattern Fragments Query Approaches
In order to reduce the server-side cost of publishing queryable Linked Data, Triple Pattern Fragments (tpf) were introduced as a simple interface to rdf triples. They allow for sparql query execution at low server cost, by partially shifting the load from servers to clients. The previously proposed query execution algorithm provides a solution that is highly inefficient, often requiring an amount of http calls that is magnitudes larger than the optimal solution. We have proposed a new query execution algorithm with the aim to solve this problem. Our solution significantly improves on the current work by maintaining a complete overview of the query instead of just looking at local optima. In this paper, we describe a demo that allows a user to easily compare the results of both implementations. We show both query results and number of executed http calls, proving a clear picture of the difference between the two algorithms.
KeywordsLinked data sparql Query execution Query optimization Demo
- 1.Buil-Aranda, C., Hogan, A., Umbrich, J., Vandenbussche, P.-Y.: SPARQL web-querying infrastructure: ready for action? In: Alani, H., et al. (eds.) ISWC 2013, Part II. LNCS, vol. 8219, pp. 277–293. Springer, Heidelberg (2013). http://link.springer.com/chapter/10.1007/978-3-642-41338-4_18CrossRefGoogle Scholar
- 2.Harris, S., Seaborne, A.: SPARQL 1.1 query language. Recommendation, World Wide Web Consortium, March 2013. http://www.w3.org/TR/sparql11-query/
- 4.Van Herwegen, J., Verborgh, R., Mannens, E., Van de Walle, R.: Query execution optimization for clients of triple pattern fragments. In: Gandon, F., Sabou, M., Sack, H., d’Amato, C., Cudré-Mauroux, P., Zimmermann, A. (eds.) ESWC 2015. LNCS, vol. 9088, pp. 302–318. Springer, Heidelberg (2015) CrossRefGoogle Scholar
- 5.Verborgh, R., Vander Sande, M., Colpaert, P., Coppens, S., Mannens, E., Van de Walle, R.: Web-scale querying through linked data fragments. In: Proceedings of the 7th Workshop on Linked Data on the Web, April 2014. http://events.linkeddata.org/ldow2014/papers/ldow2014_paper_04.pdf
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