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

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

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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.

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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 

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Acknowledgements

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

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Authors and Affiliations

  1. SINTEF AS, Oslo, Norway

    Simen Dyve Samuelsen, Nikolay Nikolov, Ahmet Soylu & Dumitru Roman

Authors
  1. Simen Dyve Samuelsen
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  2. Nikolay Nikolov
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  3. Ahmet Soylu
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  4. Dumitru Roman
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Corresponding author

Correspondence to Dumitru Roman .

Editor information

Editors and Affiliations

  1. International Hellenic University, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. Complutense University of Madrid, Madrid, Spain

    María-Antonia Ovalle-Perandones

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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

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

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-71902-9

  • Online ISBN: 978-3-030-71903-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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