RDFMongo: A MongoDB Distributed and Scalable RDF management system based on Meta-model
Mouad Banane · International Journal of Advanced Trends in Computer Science and Engineering · 2019
In recent years, the growing volume of RDF data requires scalable, efficient, and more robust systems.To meet this need we find NoSQL databases which are distributed, scalable and powerful systems for large data management.In this paper we present an RDF data store scalable and efficient for large RDF data management based on MongoDB, which is a distributed and document-oriented NoSQL database, MongoDB is the most used NoSQL database in the world [1].We propose a storage schema that stores RDF triples (subject, predicate, object) in JSON documents to ensure an RDF triple index structure based on JSON-LD.For querying data we transform SPARQL queries to MongoDB language queries through the use of meta-models.The results of the experiments obtained indicate that our approach works well compared to a large volume of RDF data, and show that our system outperforms existing distributed RDF data stores based on NoSQL.