Paper Info
Title
RDF-X: a language for sanitizing RDF graphs
Abstract
With the advent of Semantic Web and Resource Description Framework (RDF), the web is likely to witness an unprecedented wealth of knowledge, resulting from seamless integration of various data sources. Data integration is one of the key features of RDF, however, absence of secure means for managing sensitive RDF data may prevent sharing of critical data altogether or may cause serious damage. Towards this end we present a language for sanitizing RDF graphs, which comprises a set of sanitization operations that transform a graph by concealing the sensitive data. These operations are modeled into a new SPARQL query form known as SANITIZE, which can also be leveraged towards fine grained access control and building advanced anonymization features.
Year
DOI
Venue
2014
10.1145/2567948.2577367
WWW (Companion Volume)
Keywords
Field
DocType
various data source,sensitive rdf data,seamless integration,sensitive data,sanitizing rdf graph,semantic web,resource description framework,data integration,anonymization feature,critical data
Data mining,World Wide Web,RDF query language,Computer science,Cwm,Linked data,SPARQL,Simple Knowledge Organization System,RDF/XML,RDF Schema,RDF,Database
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
4
Name
Order
Citations
PageRank
Jyothsna Rachapalli1102.96
Vaibhav Khadilkar28912.04
Murat Kantarcioglu32470168.03
Bhavani M. Thuraisingham42587282.14