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21st International Conference on Data Engineering Workshops (ICDEW'05)
Advanced Metadata for Privacy-Aware Representation of Credentials
Tokyo, Japan
April 05-April 08
ISBN: 0-7695-2657-8
ASCII Text
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P. Ceravolo, E. Damiani, S. De Capitani di Vimercati, C. Fugazza, P. Samarati, "Advanced Metadata for Privacy-Aware Representation of Credentials," Data Engineering Workshops, 22nd International Conference on, pp. 1199, 21st International Conference on Data Engineering Workshops (ICDEW'05), 2005.
 
 
BibTex
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@article{ 10.1109/ICDE.2005.184,
author = {P. Ceravolo and E. Damiani and S. De Capitani di Vimercati and C. Fugazza and P. Samarati},
title = {Advanced Metadata for Privacy-Aware Representation of Credentials},
journal ={Data Engineering Workshops, 22nd International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2657-8},
pages = {1199},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDE.2005.184},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Engineering Workshops, 22nd International Conference on
TI - Advanced Metadata for Privacy-Aware Representation of Credentials
SN - 0-7695-2657-8
SP
EP
A1 - P. Ceravolo,
A1 - E. Damiani,
A1 - S. De Capitani di Vimercati,
A1 - C. Fugazza,
A1 - P. Samarati,
PY - 2005
KW - null
VL - 0
JA - Data Engineering Workshops, 22nd International Conference on
ER -
 
P. Ceravolo, Universita degli Studi di Milano
E. Damiani, Universita degli Studi di Milano
S. De Capitani di Vimercati, Universita degli Studi di Milano
C. Fugazza, Universita degli Studi di Milano
P. Samarati, Universita degli Studi di Milano
SemanticWeb languages like OWL and RDFS promise to be viable means for representing metadata describing users and resources available over the Internet. Recently, interest has been raised on the use of such languages to represent individual data items contained in Personally Identifiable Information (PII), supporting fine-grained release. To achieve this goal, the informative content of a credential must be dissected into atomic components so that users can selectively single out those to be released. In this paper, we outline methodologies for taking advantage of a distributed ontology-based framework for controlled release at both policy writing and evaluation time.
Citation:
P. Ceravolo, E. Damiani, S. De Capitani di Vimercati, C. Fugazza, P. Samarati, "Advanced Metadata for Privacy-Aware Representation of Credentials," icdew, pp.1199, 21st International Conference on Data Engineering Workshops (ICDEW'05), 2005
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