Persistence of RDF Data into NoSQL: A Survey and a Reference Architecture

RDF is being increasingly considered in a broad range of information management scenarios. Governments, large corporations, startups, and other organizations around the world are using RDF as a data model to represent and share knowledge. However, there is still a long evolutionary track with multip...

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Bibliographic Details
Published in:IEEE transactions on knowledge and data engineering 2022-03, Vol.34 (3), p.1370-1389
Main Authors: Santana, Luiz Henrique Zambom, Mello, Ronaldo dos Santos
Format: Article
Language:English
Subjects:
Benchmark testing
Big Data
Computer architecture
Data models
Indexing
Information management
Internet of Things
NoSQL
NoSQL databases
RDF
Resource description framework
Scalability
Semantic Web
SPARQL
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Summary:RDF is being increasingly considered in a broad range of information management scenarios. Governments, large corporations, startups, and other organizations around the world are using RDF as a data model to represent and share knowledge. However, there is still a long evolutionary track with multiple challenges for RDF reaching the scale of the most recent Big Data intensive applications (e.g., Smart Cities, Sensor Networks, eHealth, Internet of Things). In this survey, we review the usage of NoSQL databases to the storage of large RDF graphs by rehearsing the latest surveys and expanding their findings by updating proposals and bringing light to aspects such as model mapping between RDF and NoSQL, triple indexing and partitioning, graph fragmentation and data caching. Moreover, we explain how the surveyed works extended the RDF capabilities so the datasets can benefit of the characteristics of scalability, schemaless data, and better overall performance of NoSQL databases. The survey summarizes the current state of art, discusses open problems, and proposes a Reference Architecture (RA). For the best of our knowledge, this is the first survey where the focus is solely on papers that use one or more NoSQL systems for the RDF persistence.
ISSN:1041-4347
1558-2191
DOI:10.1109/TKDE.2020.2994521