RDF Data Management Systems Based on NoSQL Databases: A Comparative Study

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2018 by IJCTT Journal
Volume-58 Number-2
Year of Publication : 2018
Authors : Mouad Banane, Abdessamad Belangour, El Houssine Labriji
  10.14445/22312803/IJCTT-V58P117

MLA

Mouad Banane, Abdessamad Belangour, El Houssine Labriji "RDF Data Management Systems Based on NoSQL Databases: A Comparative Study". International Journal of Computer Trends and Technology (IJCTT) V58(2):98-102, April 2018. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract
The growth of data transiting the Web has presented new challenges for RDF data management systems with respect to storage and the ability to effectively query these large quantities of RDF data. The limitations of traditional relational database systems and the development of NoSQL systems that are distributed databases that are scalable and tolerant fail. All these reasons motivated researchers to work on this topic to develop a system that can efficiently handle large RDF data based on NoSQL technology. This paper provides an overview on the voluminous RDF data management systems using NoSQL databases. It studies and evaluates these databases RDF (called triplestore). The comparison is based on some criteria of database software such as the NoSQL database, and model of database, index structure, database licence. This is a comparison of the systems proposed for efficient storage of massive RDF data.

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Keywords
Semantic Web, RDF, NoSQL, Big Data, SPARQL.