Storing massive Resource Description Framework (RDF) data: a survey

被引：39
|
作者：
Ma, Zongmin [1 ,2 ]
Capretz, Miriam A. M. [3 ]
Yan, Li [1 ,2 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Comp Sci & Technol, Nanjing 211106, Jiangsu, Peoples R China
[2] Collaborat Innovat Ctr Novel Software Technol & I, Nanjing 210023, Jiangsu, Peoples R China
[3] Western Univ, Dept Elect & Comp Engn, London, ON N6A 5B9, Canada
来源：
KNOWLEDGE ENGINEERING REVIEW | 2016年 / 31卷 / 04期
基金：
中国国家自然科学基金;
关键词：
SEMANTIC WEB; DATA-MANAGEMENT; QUERIES; GRAPH; BENCHMARK; ENGINE;
D O I：
10.1017/S0269888916000217
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The Resource Description Framework (RDF) is a flexible model for representing information about resources on the Web. As a W3C (World Wide Web Consortium) Recommendation, RDF has rapidly gained popularity. With the widespread acceptance of RDF on the Web and in the enterprise, a huge amount of RDF data is being proliferated and becoming available. Efficient and scalable management of RDF data is therefore of increasing importance. RDF data management has attracted attention in the database and Semantic Web communities. Much work has been devoted to proposing different solutions to store RDF data efficiently. This paper focusses on using relational databases and NoSQL (for not only SQL (Structured Query Language)') databases to store massive RDF data. A full up-to-date overview of the current state of the art in RDF data storage is provided in the paper.
引用
收藏
页码：391 / 413
页数：23
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