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Improve Efficiency of Mapping Data between XML and RDF with XSPARQL

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Web Reasoning and Rule Systems (RR 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6902))

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Abstract

XSPARQL is a language to transform data between the tree-based XML format and the graph-based RDF format. XML is a widely adopted data exchange format which brings its own query language XQuery along. RDF is the standard data format of the Semantic Web with SPARQL being the corresponding query language. XSPARQL combines XQuery and SPARQL to a unified query language which provides a more intuitive and maintainable way to translate data between the two data formats. A naive implementation of XSPARQL can be inefficient when evaluating nested queries. However, such queries occur often in practice when dealing with XML data. We present and compare several approaches to optimise nested queries. By implementing these optimisations we improve efficiency up to two orders of magnitude in a practical evaluation.

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References

  1. Bischof, S., Krennwallner, T., Lopes, N., Polleres, A.: Mapping between RDF and XML with XSPARQL. Tech. rep., DERI Galway (April 2011), http://www.deri.ie/fileadmin/documents/DERI-TR-2011-04-04.pdf

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© 2011 Springer-Verlag Berlin Heidelberg

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Bischof, S., Lopes, N., Polleres, A. (2011). Improve Efficiency of Mapping Data between XML and RDF with XSPARQL. In: Rudolph, S., Gutierrez, C. (eds) Web Reasoning and Rule Systems. RR 2011. Lecture Notes in Computer Science, vol 6902. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23580-1_17

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  • DOI: https://doi.org/10.1007/978-3-642-23580-1_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23579-5

  • Online ISBN: 978-3-642-23580-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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