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

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Publicado en:The Knowledge Engineering Review vol. 31, no. 4 (Sep 2016), p. 391-413
Autor principal: Ma, Zongmin
Otros Autores: Capretz, Miriam A M, Yan, Li
Publicado:
Cambridge University Press
Materias:
Data models
Metadata
Semantic web
Datasets
Resource Description Framework-RDF
Semantics
Benchmarks
Acceso en línea:Citation/Abstract
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Resumen: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.
ISSN:0269-8889
1469-8005
DOI:10.1017/S0269888916000217
Fuente:ABI/INFORM Global