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Querying heterogeneous data in graph-oriented NoSQL systems

Abstract : NoSQL systems are based on a “schemaless” approach that not does require schema specification before writing data, allowing a wide variety of representations. This flexibility leads to a large volume of heterogeneous data, which makes their querying more complex for users who are compelled to know the different forms (i.e. the different schemas) of these data. This paper addresses this issue focusing on simplifying the heterogeneous data querying. Our work specially concerns graph-oriented NoSQL systems.
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Submitted on : Thursday, September 5, 2019 - 11:35:56 AM
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  • HAL Id : hal-02279379, version 1
  • OATAO : 22527


Mohammed El Malki, Hamdi Ben Hamadou, Max Chevalier, André Péninou, Olivier Teste. Querying heterogeneous data in graph-oriented NoSQL systems. 20th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2018), Sep 2018, Regensburg, Germany. pp.289-301. ⟨hal-02279379⟩



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