David C. Faye ; Olivier Curé ; Guillaume Blin
-
A survey of RDF storage approaches
arima:1956 -
Revue Africaine de Recherche en Informatique et Mathématiques Appliquées,
September 5, 2012,
Volume 15, 2012
-
https://doi.org/10.46298/arima.1956
A survey of RDF storage approaches
Authors: David C. Faye 1; Olivier Curé 2; Guillaume Blin 2
The Semantic Web extends the principles of the Web by allowing computers to understand and easily explore the Web. In recent years RDF has been a widespread data format for the Semantic Web. There is a real need to efficiently store and retrieve RDF data as the number and scale of Semantic Web in real-word applications in use increase. As datasets grow larger and more datasets are linked together, scalability becomes more important. Efficient data storage and query processing that can scale to large amounts of possibly schema-less data has become an important research topic. This paper gives an overview of the features of techniques for storing \textttRDF data.
Keywords: Semantic Web, RDF data storage.,Web Sémantique,stockage de données RDF.,[INFO] Computer Science [cs],[MATH] Mathematics [math]
4 Documents citing this article
Source : OpenCitations
Alaoui, Khadija, 2019, A Categorization Of RDF Triplestores, Proceedings Of The 4Th International Conference On Smart City Applications, 10.1145/3368756.3369047.
Santana, Luiz Henrique Zambom; Mello, Ronaldo Dos Santos, 2022, Persistence Of RDF Data Into NoSQL: A Survey And A Reference Architecture, IEEE Transactions On Knowledge And Data Engineering, 34, 3, pp. 1370-1389, 10.1109/tkde.2020.2994521.
Schätzle, Alexander; Przyjaciel-Zablocki, Martin; Skilevic, Simon; Lausen, Georg, 2016, S2Rdf, Proceedings Of The VLDB Endowment, 9, 10, pp. 804-815, 10.14778/2977797.2977806.
Urbani, Jacopo; Jacobs, Ceriel, 2020, Adaptive Low-level Storage Of Very Large Knowledge Graphs, Proceedings Of The Web Conference 2020, 10.1145/3366423.3380246.