Personal Privacy and the Web of Linked Data

David Corsar, Peter Edwards, John Nelson

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

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This paper reports the results of a study investigating the user privacy challenges when personal data is published within linked data environments. Motivated by GetThere, a passenger information system that crowdsources transport information from users (including personal data, such as their location), four scenarios are outlined that illustrate how linked data environments can impact upon user privacy. The responsibilities of key stakeholders, including researchers, ethics committees, and the linked data community are also discussed, along with a set of guidelines designed to raise awareness of these risks and how to reduce them.
Original languageEnglish
Title of host publicationProceedings of Workshop on Society, Privacy and the Semantic Web - Policy and Technology (PrivOn2013)
EditorsStefan Decker, Jim Hendler, Sabrina Kirrane
Place of PublicationAachen
Number of pages11
Publication statusPublished - 2013
EventWorkshop on Society, Privacy and the Semantic Web - Policy and Technology (PrivOn2013) - Sydney, Australia
Duration: 22 Oct 201322 Oct 2013


WorkshopWorkshop on Society, Privacy and the Semantic Web - Policy and Technology (PrivOn2013)

Bibliographical note

The research described here is supported by the award made by the RCUK Digital Economy programme to the dot.rural Digital Economy Hub (award reference EP/G066051/1); and an award from the Framework for Responsible Research and Innovation in ICT project.


  • semantic web
  • privacy
  • ethics
  • open data
  • crowd sourcing
  • transport


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