HDT crypt : Efficient Compression and Encryption of RDF Datasets

Tracking #: 1733-2945

This paper is currently under review
Authors: 
Javier D. Fernandez
Sabrina Kirrane
Axel Polleres
Simon Steyskal

Responsible editor: 
Ruben Verborgh

Submission type: 
Full Paper
Abstract: 
The publication and interchange of RDF datasets online has experienced significant growth in recent years, promoted by different but complementary efforts, such as Linked Open Data, the Web of Things and RDF stream processing systems. However, the current Linked Data infrastructure does not cater for the storage and exchange of sensitive or private data. On the one hand, data publishers need means to limit access to confidential data (e.g. health, financial, personal, or other sensitive data). On the other hand, the infrastructure needs to compress RDF graphs in a manner that minimises the amount of data that is both stored and transferred over the wire. In this paper, we demonstrate how HDT – a compressed serialization format for RDF – can be extended to cater for supporting encryption. We propose a number of different graph partitioning strategies and discuss the benefits and tradeoffs of each approach.
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