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文章基本信息

  • 标题:RDF Data Management Systems Based on NoSQL Databases: A Comparative Study
  • 作者:Mouad Banane ; Abdessamad Belangour ; El Houssine Labriji
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2018
  • 卷号:58
  • 期号:2
  • 页码:98-102
  • DOI:10.14445/22312803/IJCTT-V58P117
  • 出版社:Seventh Sense Research Group
  • 摘要: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.
  • 关键词:Semantic Web; RDF; NoSQL; Big Data; SPARQL.
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