HDT crypt: Compression and Encryption of RDF Datasets

Fernandez Garcia, Javier David ORCID: https://orcid.org/0000-0002-2683-827X and Kirrane, Sabrina ORCID: https://orcid.org/0000-0002-6955-7718 and Polleres, Axel ORCID: https://orcid.org/0000-0001-5670-1146 and Steyskal, Simon (2018) HDT crypt: Compression and Encryption of RDF Datasets. Semantic Web Journal. ISSN 1570-0844

Preview

PDF HDTCrypt-SWJ.pdf Download (2MB)

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.

Item Type:	Article
Additional Information:	To see the final version of this paper please visit the publisher's website. Access to the published version might require a subscription. Supported by the European Union's Horizon 2020 research and innovation programme under grant 731601, Austrian Science Fund (FWF): M1720-G11, the Austrian Research Promotion Agency (FFG) under grant 845638 (SHAPE) and grant 861213 (CitySpin), and MINECO-AEI/FEDER-UE ETOME-RDFD3:TIN2015-69951-R, and the "Distinguished Visiting Austrian Chair" program of The Europe Center and the Center for Biomedical Research (BMIR) at Stanford University.
Keywords:	RDF, HDT, compression, encryption, linked data protection
Divisions:	Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft > Polleres
Version of the Document:	Accepted for Publication
Variance from Published Version:	Minor
Depositing User:	Javier David Fernandez Garcia
Date Deposited:	06 Sep 2018 09:26
Last Modified:	04 Dec 2019 10:01
FIDES Link:	https://bach.wu.ac.at/d/research/results/86866/
URI:	https://epub.wu.ac.at/id/eprint/6489

Actions

View Item

Downloads