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

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Metadata and Semantic Research (MTSR 2020)

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

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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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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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Correspondence to Dumitru Roman .

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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.

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  • Print ISBN: 978-3-030-71902-9

  • Online ISBN: 978-3-030-71903-6

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