Skip to main content

An Approach for Representing and Storing RDF Data in Multi-model Databases

  • Conference paper
  • First Online:
Metadata and Semantic Research (MTSR 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1355))

Included in the following conference series:

Abstract

The emergence of NoSQL multi-model databases, natively supporting scalable and unified storage and querying of various data models, presents new opportunities for storing and managing RDF data. In this paper, we propose an approach to store RDF data in multi-model databases. We identify various aspects of representing the RDF data structure into a multi-model data structure and discuss their advantages and disadvantages. Furthermore, we implement and evaluate the proposed approach in a prototype using ArangoDB—a popular multi-model database.

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Similar content being viewed by others

Notes

  1. 1.

    https://www.arangodb.com/performance.

  2. 2.

    https://www.arangodb.com/docs/stable/data-modeling-concepts.html.

  3. 3.

    https://github.com/samuelsen/RDF---NoSQL-test.

  4. 4.

    https://neo4j.com.

  5. 5.

    https://www.orientdb.org.

  6. 6.

    https://jena.apache.org/documentation/fuseki2.

References

  1. ArangoDB NoSQL Performance Benchmark. https://www.arangodb.com/2018/02/nosql-performance-benchmark-2018-mongodb-postgresql-orientdb-neo4j-arangodb

  2. Pokec social network - data set dump. https://snap.stanford.edu/data/soc-pokec.html

  3. Bornea, M., et al.: Building an efficient RDF store over a relational database. Proc. SIGMOD 2013, 121–132 (2013)

    Google Scholar 

  4. Lu, J., Holubová, I.: Multi-model databases: a new journey to handle the variety of data. ACM Comput. Surv. 52(3), 1–38 (2019)

    Article  Google Scholar 

  5. Pan, Z., Heflin, J.: DLDB: Extending relational databases to support semantic web queries. In: Proceedings of PSSS1 2003, pp. 109–113 (2003)

    Google Scholar 

  6. Płuciennik, E., Zgorzałek, K.: The multi-model databases - a review. Proc. BDAS 2017, 141–152 (2017)

    Google Scholar 

  7. Roman, D., et al.: Datagraft: one-stop-shop for open data management. Semant. Web 9(4), 393–411 (2018)

    Article  Google Scholar 

  8. Sukhobok, D., et al.: Tabular data cleaning and linked data generation with Grafterizer. In: Sack, H., Rizzo, G., Steinmetz, N., Mladenić, D., Auer, S., Lange, C. (eds.) ESWC 2016. LNCS, vol. 9989, pp. 134–139. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-47602-5_27

    Chapter  Google Scholar 

  9. Zeng, K., et al.: A distributed graph engine for web scale rdf data. Proceedings of the VLDB Endowment 6(4), 265–276 (2013)

    Article  Google Scholar 

Download references

Acknowledgements

The work in this paper was partly funded by the EC H2020 projects euBusinessGraph (732003), EW-Shopp (732590), and TheyBuyForYou (780247).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dumitru Roman .

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

Samuelsen, S.D., Nikolov, N., Soylu, A., Roman, D. (2021). An Approach for Representing and Storing RDF Data in Multi-model Databases. In: Garoufallou, E., Ovalle-Perandones, MA. (eds) Metadata and Semantic Research. MTSR 2020. Communications in Computer and Information Science, vol 1355. Springer, Cham. https://doi.org/10.1007/978-3-030-71903-6_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-71903-6_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-71902-9

  • Online ISBN: 978-3-030-71903-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics