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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
Implementing the Inference Controller251
17.7.1 Semantic Associations in the Workflow
We identified various semantic associations such as, if X is a heart surgeon who
updates patient Y record, then patient Y procedures and medications are related
to heart surgery. is would allow the querying user to determine the disease of Y
after querying for Y, X, and Y and X on the same path in the provenance for Y’s
record.
17.8 Implementing Constraints
We describe the encoding of each of the constraints that were described and sum-
marized in the earlier chapters of Section III. Constraints are generally rules, but
may have additional conditions as well. e conditions may specify circumstances
for applying the rules (e.g., some temporal or location ...
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Publisher Resources

ISBN: 9781466569430