2020
DOI: 10.1016/j.ijinfomgt.2020.102089
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Efficient querying of multidimensional RDF data with aggregates: Comparing NoSQL, RDF and relational data stores

Abstract: This paper proposes an approach to tackle the problem of querying large volume of statistical RDF data. Our approach relies on pre-aggregation strategies to better manage the analysis of this kind of data. Specifically, we define a conceptual model to represent original RDF data with aggregates in a multidimensional structure. A set of translations rules for converting a well-known multidimensional RDF modelling vocabulary into the proposed conceptual model is then proposed. We implement the conceptual model i… Show more

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Cited by 18 publications
(4 citation statements)
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References 47 publications
(58 reference statements)
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“…Most developer agreed that the database system are generally much more matured and have more features than typical RDF/OWL. The transactions are much cruder, and the cost per unit information stored in RDF/OWL is noticeably higher than database (Ravat, Song, Teste, & Trojahn, 2020). Therefore, it is more efficient to use the database instead of RDF/OWL to get the benefit of flexibility and the power of the database system, without neglecting the modeling of knowledge using ontology.…”
Section: Fig 11 -Measurement For Searching Resultsmentioning
confidence: 99%
“…Most developer agreed that the database system are generally much more matured and have more features than typical RDF/OWL. The transactions are much cruder, and the cost per unit information stored in RDF/OWL is noticeably higher than database (Ravat, Song, Teste, & Trojahn, 2020). Therefore, it is more efficient to use the database instead of RDF/OWL to get the benefit of flexibility and the power of the database system, without neglecting the modeling of knowledge using ontology.…”
Section: Fig 11 -Measurement For Searching Resultsmentioning
confidence: 99%
“…The objective is to propose guidelines for the implementation choice according to the analytical needs. Finally, we identified a possible extension of our solution in other domains, such as the Semantic Web domain [8,21]. We will verify its implementation in new environments and make a performance comparison with classic graph database systems such as the ones used in our paper.…”
Section: Discussionmentioning
confidence: 99%
“…In our future works, we will extend our experiments to other types of data stores such as relational data stores since they can outperform both NoSQL graph stores and RDF triples stores [21]. This will require to extend the translation rules between the conceptual and logical level to be applicable to relational data stores.…”
Section: Discussionmentioning
confidence: 99%