Tracing where and who provenance in Linked Data: a calculus
Dezani, Mariangiola, Horne, Ross and Sassone, Vladimiro (2012) Tracing where and who provenance in Linked Data: a calculus. Theoretical Computer Science, to appear (In Press).
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.
|Keywords:||linked data, provenance|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science > Web & Internet Science
|Date Deposited:||10 Mar 2012 10:40|
|Last Modified:||11 Jun 2012 12:45|
|Contributors:||Dezani, Mariangiola (Author)
Horne, Ross (Author)
Sassone, Vladimiro (Author)
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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