A Decentralized Approach to Validating Personal Data Using a Combination of Blockchains and Linked Data

C.I. Bucur, Fiorela Ciroku, Tatiana Makhalova, Ettore Rizza, Thiviyan Thanapalasingam, Dalia Varanka, Michael Wolowyk, John Domingue

Research output: Chapter in Book / Report / Conference proceedingChapterAcademic

Abstract

The objective of this study is to define a model of personal data validationin the context of decentralized systems. The distributed nature of Linked Data,through DBpedia, is integrated with Blockchain data storage in a conceptualmodel. This model is illustrated through multiple use cases that serve as proofsof concepts. We have constructed a set of rules for validating Linked Data andpropose to implement them in smart contracts to implement a decentraliseddata validator. A part of the conceptual workflow is implemented through aweb interface using Open BlockChain and DBpedia Spotlight.
Original languageEnglish
Title of host publicationLinked Open Data Validity
Subtitle of host publicationA Technical Report from ISWS 2018
Place of PublicationBertinoro
PublisherInternational Semantic Web Research Summer School (ISWS)
Chapter9
Pages88-97
Number of pages10
Publication statusPublished - 1 Apr 2019

Fingerprint

Dive into the research topics of 'A Decentralized Approach to Validating Personal Data Using a Combination of Blockchains and Linked Data'. Together they form a unique fingerprint.

Cite this