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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 Control129
3. If P is a graph pattern and R is a built-in SPARQL condition, then the expres-
sion (P FILTER R) is a graph pattern
4. If P is a graph pattern, V is a set of variables and X
U
V, then (X GRAPH
P) is a graph pattern
e current W3C recommendation for SPARQL does not support paths of
arbitrary length; therefore, extensions are needed to answer the queries over the
provenance graph (Detwiler et al. 2008). Many approaches to supporting paths of
arbitrary length have been proposed in the literature, which include Alkhateeb et
al. (2009), Detwiler et al. (2008), and Koch et al. (2005). A W3C recommenda-
tion extending SPARQL to support property paths can be found in Harris and
Seaborne (2010)
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Publisher Resources

ISBN: 9781466569430