Skip to main content

RDF Data Management is an Analytical Market, not a Transaction One

  • Conference paper
  • First Online:
Big Data Analytics and Knowledge Discovery (DaWaK 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12925))

Included in the following conference series:

  • 736 Accesses

Abstract

In recent years, the Resource Description Framework data model has seen an increasing adoption in Web applications and IT in general. This has contributed to the establishment of standards such as the SPARQL query language and the emergence of production-ready database management systems based on this data model. In this paper, we however argue that by concentrating on transaction related functionalities rather than analytical operations, most of these systems address the wrong data market. We motivate this claim by presenting several concrete arguments.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://lod-cloud.net/.

  2. 2.

    https://spark.apache.org/.

  3. 3.

    https://flink.apache.org/.

References

  1. Colazzo, D., Goasdoué, F., Manolescu, I., Roatis, A.: RDF analytics: lenses over semantic graphs. In: Chung, C., Broder, A.Z., Shim, K., Suel, T. (eds.) 23rd International World Wide Web Conference, WWW 2014, Seoul, Republic of Korea, 7–11 April, 2014, pp. 467–478. ACM (2014)

    Google Scholar 

  2. Diao, Y., Guzewicz, P., Manolescu, I., Mazuran, M.: Spade: a modular framework for analytical exploration of RDF graphs. Proc. VLDB Endow. 12(12), 1926–1929 (2019)

    Article  Google Scholar 

  3. Lehmann, J., et al.: Distributed semantic analytics using the SANSA stack. In: d’Amato, C., et al. (eds.) ISWC 2017. LNCS, vol. 10588, pp. 147–155. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-68204-4_15

    Chapter  Google Scholar 

  4. Nenov, Y., Piro, R., Motik, B., Horrocks, I., Wu, Z., Banerjee, J.: RDFox: a highly-scalable RDF store. In: Arenas, M., et al. (eds.) ISWC 2015. LNCS, vol. 9367, pp. 3–20. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-25010-6_1

    Chapter  Google Scholar 

  5. Sahu, S., Mhedhbi, A., Salihoglu, S., Lin, J., Özsu, M.T.: The ubiquity of large graphs and surprising challenges of graph processing. Proc. VLDB Endow. 11(4), 420–431 (2017)

    Article  Google Scholar 

  6. ter Horst, H.J.: Completeness, decidability and complexity of entailment for RDF schema and a semantic extension involving the owl vocabulary. Web Semant. 3(2–3), 79–115 (2005)

    Article  MathSciNet  Google Scholar 

  7. Xiao, G., Ding, L., Cogrel, B., Calvanese, D.: Virtual knowledge graphs: an overview of systems and use cases. Data Intell. 1(3), 201–223 (2019)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Olivier Curé .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Curé, O., Callé, C., Calvez, P. (2021). RDF Data Management is an Analytical Market, not a Transaction One. In: Golfarelli, M., Wrembel, R., Kotsis, G., Tjoa, A.M., Khalil, I. (eds) Big Data Analytics and Knowledge Discovery. DaWaK 2021. Lecture Notes in Computer Science(), vol 12925. Springer, Cham. https://doi.org/10.1007/978-3-030-86534-4_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-86534-4_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86533-7

  • Online ISBN: 978-3-030-86534-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics