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
114Secure Data Provenance and Inference Control
Java 1.5 as the main programming language for writing the logic in our code and
Pellet as the main reasoner (Sirin et al. 2007). We used synthetic data to build in-
memory models using the Jena API (http://jena.sourceforge.net/ARQ/lucene-arq.
html; Carroll et al. 2004). e individuals and their properties in our knowledge
bases were created randomly. We used Protégé to build our TBox and Jena to build
our ABoxes and programmatically extend the TBox (Knublauch et al. 2004). Each
user and patient had on average 30 object and datatype properties. We used various
information sources, such as WebM
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