research-article

PROV4ITDaTa: Transparent and direct transferof personal data to personal stores

Authors:

Ruben VerborghAuthors Info & Claims

WWW '21: Companion Proceedings of the Web Conference 2021

Pages 695 - 697

https://doi.org/10.1145/3442442.3458608

Published: 03 June 2021 Publication History

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Abstract

Data is scattered across service providers, heterogeneously structured in various formats. By lack of interoperability, data portability is hindered, and thus user control is inhibited. An interoperable data portability solution for transferring personal data is needed. We demo PROV4ITDaTa: a Web application, that allows users to transfer personal data into an interoperable format to their personal data store. PROV4ITDaTa leverages the open-source solutions RML.io, Comunica, and Solid: (i) the RML.io toolset to describe how to access data from service providers and generate interoperable datasets; (ii) Comunica to query these and more flexibly generate enriched datasets; and (iii) Solid Pods to store the generated data as Linked Data in personal data stores. As opposed to other (hard-coded) solutions, PROV4ITDaTa is fully transparent, where each component of the pipeline is fully configurable and automatically generates detailed provenance trails. Furthermore, transforming the personal data into RDF allows for an interopable solution. By maximizing the use of open-source tools and open standards, PROV4ITDaTa facilitates the shift towards a data ecosystem wherein users have control of their data, and providers can focus on their service instead of trying to adhere to interoperability requirements.

References

[1]

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Anastasia Dimou, Tom De Nies, Ruben Verborgh, Erik Mannens, and Rik Van de Walle. 2016. Automated Metadata Generation for Linked Data Generation and Publishing Workflows. In Proceedings of the Workshop on Linked Data on the Web co-located with 25th International World Wide Web Conference (WWW2016), Vol. 1593. CEUR. http://events.linkeddata.org/ldow2016/papers/LDOW2016_paper_04.pdf

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Anastasia Dimou, Miel Vander Sande, Pieter Colpaert, Ruben Verborgh, Erik Mannens, and Rik Van de Walle. 2014. RML: A Generic Language for Integrated RDF Mappings of Heterogeneous Data. In Proceedings of the 7th Workshop on Linked Data on the Web, Vol. 1184. CEUR. http://ceur-ws.org/Vol-1184/ldow2014_paper_01.pdf

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Timothy Lebo, Satya Sahoo, Deborah McGuinness, Khalid Belhajjame, James Cheney, David Corsar, Daniel Garijo, Stian Soiland-Reyes, Stephan Zednik, and Jun Zhao. 2013. PROV-O: The PROV Ontology. Recommendation. World Wide Web Consortium (W3C). https://www.w3.org/TR/prov-o/

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Ruben Taelman, Joachim Van Herwegen, Miel Vander Sande, and Ruben Verborgh. 2018. Comunica: a Modular SPARQL Query Engine for the Web. In The Semantic Web – ISWC 2018: 17th International Semantic Web Conference, Monterey, CA, USA, October 8–12, 2018, Proceedings, Part II, Vol. 11137. Springer, Cham. https://doi.org/10.1007/978-3-030-00668-6_15

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Cited By

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Pandit H(2023)Making Sense of Solid for Data Governance and GDPRInformation10.3390/info1402011414:2(114)Online publication date: 12-Feb-2023
https://doi.org/10.3390/info14020114
Balog KMirza PSkjæveland MWang Z(2023)Report on the Workshop on Personal Knowledge Graphs (PKG 2021) at AKBC 2021ACM SIGIR Forum10.1145/3582524.358253156:1(1-11)Online publication date: 27-Jan-2023
https://dl.acm.org/doi/10.1145/3582524.3582531
Barnett SBrand NOdom WAndres K(2022)Exploring Data Intermediaries as Infrastructure for a Human-Centric Data Economy: Speculations & Critical ReflectionsNordic Human-Computer Interaction Conference10.1145/3546155.3547286(1-20)Online publication date: 8-Oct-2022
https://dl.acm.org/doi/10.1145/3546155.3547286

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Published In

WWW '21: Companion Proceedings of the Web Conference 2021

April 2021

726 pages

ISBN:9781450383134

DOI:10.1145/3442442

Editors:
Jure Leskovec
Stanford
,
Marko Grobelnik
Jožef Stefan Institute
,
Marc Najork
Google
,
Jie Tang
Tsinghua University
,
Leila Zia
Wikimedia Foundation

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 03 June 2021

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WWW '21: The Web Conference 2021

April 19 - 23, 2021

Ljubljana, Slovenia

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Pandit H(2023)Making Sense of Solid for Data Governance and GDPRInformation10.3390/info1402011414:2(114)Online publication date: 12-Feb-2023
https://doi.org/10.3390/info14020114
Balog KMirza PSkjæveland MWang Z(2023)Report on the Workshop on Personal Knowledge Graphs (PKG 2021) at AKBC 2021ACM SIGIR Forum10.1145/3582524.358253156:1(1-11)Online publication date: 27-Jan-2023
https://dl.acm.org/doi/10.1145/3582524.3582531
Barnett SBrand NOdom WAndres K(2022)Exploring Data Intermediaries as Infrastructure for a Human-Centric Data Economy: Speculations & Critical ReflectionsNordic Human-Computer Interaction Conference10.1145/3546155.3547286(1-20)Online publication date: 8-Oct-2022
https://dl.acm.org/doi/10.1145/3546155.3547286

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Personal Medical Monitoring System: Addressing Interoperability

Gifting Interpretations of Personal Data

A federated semantic metadata registry framework for enabling interoperability across clinical research and care domains

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