Skip to Main Content
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
201
Chapter 14
Queries with Regular
Path Expressions
14.1 Overview
In order for our graph rewriting system to manipulate the provenance graph, we
use a graph manipulation language over RDF called SPARQL (Prud’hommeaux
et al. 2006). In addition, we use one of the features of SPARQL, namely regular
expressions, to identify paths of arbitrary length in a provenance graph (Harris and
Seaborne 2010). We formulate our SPARQL queries around regular expression pat-
terns in order to identify both the resources being shared and the LHS and RHS of
the production rules of a policy set. e regular expressions are used to qualify the
edges of a triple pattern ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Protecting Data Privacy Beyond the Trusted System of Record

Protecting Data Privacy Beyond the Trusted System of Record

Bill White, Mark Moore, Phillip Wilson, Eva Yan
The Privacy Engineer's Manifesto: Getting from Policy to Code to QA to Value

The Privacy Engineer's Manifesto: Getting from Policy to Code to QA to Value

Michelle Finneran Dennedy, Jonathan Fox, Thomas R. Finneran

Publisher Resources

ISBN: 9781466569430