A survey of RDF management technologies and benchmark datasets

A survey of RDF management technologies and benchmark datasets With the fast development of semantic weband 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. Keywords RDF · RDF management · RDF benchmark dataset · Semantic web · SPARQL 1 Introduction Web. The main reason is that computers can not intelli- gently understand the information resources contained on It is well known that the World Wide Web, the largest reposi- the World Wide Web. To address this problem, Berners et al. tory of information resources, includes the information proposes the concept of semantic web in which web can add resources of any industry, and these information resources semantic annotation, so that computers can understand and are open to both organizations and individuals. However, in process the information efficiently on the World Wide Web the face of massive information resources, how to retrieve (Berners-Lee et al. 2001). A common data model is needed http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Ambient Intelligence and Humanized Computing Springer Journals

A survey of RDF management technologies and benchmark datasets

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer-Verlag GmbH Germany, part of Springer Nature
Subject
Engineering; Computational Intelligence; Artificial Intelligence (incl. Robotics); Robotics and Automation; User Interfaces and Human Computer Interaction
ISSN
1868-5137
eISSN
1868-5145
D.O.I.
10.1007/s12652-018-0876-2
Publisher site
See Article on Publisher Site

Abstract

With the fast development of semantic weband 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. Keywords RDF · RDF management · RDF benchmark dataset · Semantic web · SPARQL 1 Introduction Web. The main reason is that computers can not intelli- gently understand the information resources contained on It is well known that the World Wide Web, the largest reposi- the World Wide Web. To address this problem, Berners et al. tory of information resources, includes the information proposes the concept of semantic web in which web can add resources of any industry, and these information resources semantic annotation, so that computers can understand and are open to both organizations and individuals. However, in process the information efficiently on the World Wide Web the face of massive information resources, how to retrieve (Berners-Lee et al. 2001). A common data model is needed

Journal

Journal of Ambient Intelligence and Humanized ComputingSpringer Journals

Published: Jun 5, 2018

References

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