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dc.contributor.authorDezani-Ciancaglini, Mariangiolaen
dc.contributor.authorHorne, Rossen
dc.contributor.authorSassone, Vladimiroen
dc.identifier.citationDezani-Ciancaglini, M., Horne, R., & Sassone, V. (2012). Tracing where and who provenance in Linked Data: A calculus. Theoretical Computer Science, 464, 113-129.en
dc.description.abstractLinked 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.en
dc.relation.ispartofseriesTheoretical Computer Scienceen
dc.rights© 2012 Elsevier B.V. This is the author created version of a work that has been peer reviewed and accepted for publication by Theoretical Computer Science, Elsevier B.V. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [].en
dc.subjectOperational semanticsen
dc.subjectType systemsen
dc.subjectLinked Dataen
dc.titleTracing where and who provenance in Linked Data: A calculusen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Engineeringen
dc.description.versionAccepted versionen
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