Tracing where and who provenance in Linked Data: A calculus

  • Authors:
  • Mariangiola Dezani-Ciancaglini;Ross Horne;Vladimiro Sassone

  • Affiliations:
  • Dipartimento di Informatica, Università di Torino, Corso Svizzera, 185, 10149 Torino, Italy;Institute of Computer Science, Romanian Academy, Iai, Blvd. Carol I, no. 8, 700505 Iasi, Romania;Electronics and Computer Science, University of Southampton, University Road, SO17 1BJ Southampton, United Kingdom

  • Venue:
  • Theoretical Computer Science
  • Year:
  • 2012

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Abstract

Linked Data provides some sensible guidelines for publishing and consuming data on the Web. Data published on the Web has no inherent truth, yet its quality can often be assessed based on its provenance. This work introduces a new approach to provenance for Linked Data. The simplest notion of provenance-viz., a named graph indicating where the data is now-is extended with a richer provenance format. The format reflects the behaviour of processes interacting with Linked Data, tracing where the data has been published and who published it. An executable model is presented based on abstract syntax and operational semantics, providing a proof of concept and the means to statically evaluate provenance driven access control using a type system.