Content area

Abstract

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.

Details

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Title
Storing massive Resource Description Framework (RDF) data: a survey
Publication title
Volume
31
Issue
4
Source details
Spatial Computing
Pages
391-413
Number of pages
23
Publication year
2016
Publication date
Sep 2016
Publisher
Cambridge University Press
Place of publication
Cambridge
Country of publication
United Kingdom
ISSN
02698889
e-ISSN
14698005
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
ProQuest document ID
1846271042
Document URL
https://www.proquest.com/scholarly-journals/storing-massive-resource-description-framework/docview/1846271042/se-2?accountid=208611
Copyright
© Cambridge University Press, 2016
Last updated
2024-12-03
Database
ProQuest One Academic