Algebra of RDF Graphs for Querying Large-Scale Distributed Triple-Store

Data triples are read one by one, their subject and object are represented with source and target data nodes, possibly unifying the source and target nodes based on the

in different file formats), Hive, relational databases using JDBC, or Neo4j (i.e. Morpheus Property graph data sources PGDs), and exporting these property graphs directly back to

Using this framework, graph data described in the RDF model can be converted to the property graph model and can be loaded to several graph database engines for further

Figure I.10: Structures chimiques de quelques flavonoïdes et isoflavonoïdes isolés de différentes espèces du genre Genista

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The goal of this section is to prove upper and lower bounds on the diameters of modular flip graphs in terms of the topology of the surface (namely Theorem 1.4 from the

Traditionally in federated settings, the two basic optimisation techniques to compute such a query graph are: (i) compute each triple pattern in a query graph against all the

In the HAQWA (Hash-based and Query Workload Aware) system, we pro- pose a trade-off between data distribution complexity and query answering effi- ciency together with an