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A survey of RDF management technologies and benchmark datasets

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Abstract

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.

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Notes

  1. GraphDB is the newest version of OWLIM.

  2. Blazegraph is the newest version of Bigdata.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China (Nos. 61471035, 61601129) and the double first class construct program of USC (No. 2017SYL16).

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Authors and Affiliations

  1. School of Computer and Communication Engineering, University of Science & Technology Beijing, Beijing, China

    Zhengyu Pan & Huansheng Ning

  2. School of Software, University of South China, Hengyang, China

    Tao Zhu

  3. School of Computer Science and Software Engineering, East China Normal University, Shanghai, China

    Hong Liu

  4. Beijing Engineering Research Center for Cyberspace Data Analysis and Applications, Beijing, China

    Zhengyu Pan & Huansheng Ning

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  1. Zhengyu Pan
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  2. Tao Zhu
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  3. Hong Liu
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  4. Huansheng Ning
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Correspondence to Tao Zhu or Huansheng Ning.

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Pan, Z., Zhu, T., Liu, H. et al. A survey of RDF management technologies and benchmark datasets. J Ambient Intell Human Comput 9, 1693–1704 (2018). https://doi.org/10.1007/s12652-018-0876-2

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