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ProvRPQ: An Interactive Tool for Provenance-Aware Regular Path Queries on RDF Graphs

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Databases Theory and Applications (ADC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9877))

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Abstract

Regular Path Queries (RPQs) are building blocks for expressing navigations over RDF graphs. We demonstrate an interactive query tool, called ProvRPQ, for provenance-aware RPQs on RDF graphs. In contrast to merely showing pairs of source and target nodes in the conventional answers of RPQs, our tool, with users’ exploratory interaction, could clearly justify how paths conforming to RPQs can be navigated from source to target resources in RDF graphs.

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References

  1. Harris, S., Seaborne, A.: SPARQL 1.1 query language. W3C Recommendation (2013)

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  2. Dey, S., Cuevas-Vicenttín, V., Köhler, S., Gribkoff, E., Wang, M., Ludäscher, B.: On implementing provenance-aware regular path queries with relational query engines. In: EDBT/ICDT 2013, pp. 214–223. ACM (2013)

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  3. Wang, X., Ling, J., Wang, J., Wang, K., Feng, Z.: Answering provenance-aware regular path queries on rdf graphs using an automata-based algorithm. In: WWW 2014 (companion), pp. 395–396. ACM (2014)

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (61572353) and the Australia Research Council (ARC) Discovery grants DP130103051.

Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Tianjin University, Tianjin, China

    Xin Wang

  2. School of Information and Communication Technology, Griffith University, Nathan, Australia

    Xin Wang & Junhu Wang

Authors
  1. Xin Wang
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  2. Junhu Wang
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Corresponding author

Correspondence to Xin Wang .

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Editors and Affiliations

  1. Monash University , Clayton, Australia

    Muhammad Aamir Cheema

  2. School of Comp. Science a. Engineer, University of New South Wales School of Comp. Science a. Engineer, Sydney, Australia

    Wenjie Zhang

  3. University of New South Wales , Sydney, New South Wales, Australia

    Lijun Chang

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© 2016 Springer International Publishing AG

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Wang, X., Wang, J. (2016). ProvRPQ: An Interactive Tool for Provenance-Aware Regular Path Queries on RDF Graphs. In: Cheema, M., Zhang, W., Chang, L. (eds) Databases Theory and Applications. ADC 2016. Lecture Notes in Computer Science(), vol 9877. Springer, Cham. https://doi.org/10.1007/978-3-319-46922-5_44

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  • DOI: https://doi.org/10.1007/978-3-319-46922-5_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46921-8

  • Online ISBN: 978-3-319-46922-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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