A survey of RDF management technologies and benchmark datasets

Zhengyu Pan; Tao Zhu; Hong Liu; Huansheng Ning

doi:10.1007/s12652-018-0876-2

A survey of RDF management technologies and benchmark datasets

Zhengyu Pan
, Tao Zhu
, Hong Liu
, Huansheng Ning^*

^*此作品的通讯作者

软件工程学院

University of Science and Technology Beijing
Beijing Engineering Research Center for Cyberspace Data Analysis and Applications
University of South China

科研成果: 期刊稿件 › 文章 › 同行评审

21 引用（Scopus）

摘要

With the fast development of semantic web and some other areas, the amount of resource description framework (RDF) data has increased significantly. How to efficiently manage these masses of RDF data has become a challenging task, and has attracted many scholars to research. This paper introduces the state-of-the-art of the RDF storage and query technologies according to some classification criteria. In addition, several prevailing benchmark datasets are introduced and compared. Finally, research challenges and opportunities in future are discussed.

源语言	英语
页（从-至）	1693-1704
页数	12
期刊	Journal of Ambient Intelligence and Humanized Computing
卷	9
期	5
DOI	https://doi.org/10.1007/s12652-018-0876-2
出版状态	已出版 - 1 10月 2018

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AU - Zhu, Tao

AU - Liu, Hong

AU - Ning, Huansheng

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AB - With the fast development of semantic web and some other areas, the amount of resource description framework (RDF) data has increased significantly. How to efficiently manage these masses of RDF data has become a challenging task, and has attracted many scholars to research. This paper introduces the state-of-the-art of the RDF storage and query technologies according to some classification criteria. In addition, several prevailing benchmark datasets are introduced and compared. Finally, research challenges and opportunities in future are discussed.

KW - RDF

KW - RDF benchmark dataset

KW - RDF management

KW - SPARQL

KW - Semantic web

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JO - Journal of Ambient Intelligence and Humanized Computing

JF - Journal of Ambient Intelligence and Humanized Computing

IS - 5

ER -

A survey of RDF management technologies and benchmark datasets

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