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Secure Data Provenance and Inference Control with Semantic Web
book

Secure Data Provenance and Inference Control with Semantic Web

by Bhavani Thuraisingham, Tyrone Cadenhead, Murat Kantarcioglu, Vaibhav Khadilkar
August 2014
Intermediate to advanced content levelIntermediate to advanced
478 pages
13h 49m
English
Auerbach Publications
Content preview from Secure Data Provenance and Inference Control with Semantic Web
A Language for Provenance Access Control139
have support for a more expressive representation of provenance, for example the
vocabulary specification in (Zhao 2010). Our aim in this chapter is to demonstrate
a general way of navigating a provenance graph rather than capturing the semantics
of the domain associated with the provenance paths.
We use synthetic data to build in-memory models using the Jena API (Carroll
et al. 2004, http://jena.sourceforge.net/). is tool allows us to add annotations to
the existing RDF triples generated from executing the provenance workflows. We
then issue different provenance queries such as why, where, how, when, ...
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Publisher Resources

ISBN: 9781466569430