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Model Based Development of Data Integration in Graph Databases Using Triple Graph Grammars

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Software Technologies: Applications and Foundations (STAF 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11176))

Abstract

Graph databases such as neo4j are designed to handle and integrate big data from heterogeneous sources. For flexibility and performance they do not ensure data quality through schemata but leave it to the application level. In this paper, we present a model-driven approach for data integration through graph databases with data sources in relational databases. We model query and update operations in neo4j by triple graph grammars and map these to Gremlin code for execution. In this way we provide a model-based approach to data integration that is both visual and formal while providing the data quality assurances of a schema-based solution.

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Authors and Affiliations

  1. Department of Informatics, University of Leicester, Leicester, UK

    Abdullah Alqahtani & Reiko Heckel

Authors
  1. Abdullah Alqahtani
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  2. Reiko Heckel
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Corresponding author

Correspondence to Abdullah Alqahtani .

Editor information

Editors and Affiliations

  1. Innopolis University, Innopolis, Russia

    Manuel Mazzara

  2. University of Toulouse, Toulouse Cedex 9, France

    Iulian Ober

  3. Grenoble Alpes University, Montbonnot, France

    Gwen Salaün

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Alqahtani, A., Heckel, R. (2018). Model Based Development of Data Integration in Graph Databases Using Triple Graph Grammars. In: Mazzara, M., Ober, I., Salaün, G. (eds) Software Technologies: Applications and Foundations. STAF 2018. Lecture Notes in Computer Science(), vol 11176. Springer, Cham. https://doi.org/10.1007/978-3-030-04771-9_29

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  • DOI: https://doi.org/10.1007/978-3-030-04771-9_29

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  • Print ISBN: 978-3-030-04770-2

  • Online ISBN: 978-3-030-04771-9

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