DocumentCode
3086418
Title
Privacy-Preserving Data Mashup
Author
Barhamgi, Mahmoud ; Benslimane, Djamal ; Ghedira, Chirine ; Gancarski, Alda Lopes
Author_Institution
Claude Bernard Lyon 1 Univ., Villeurbanne, France
fYear
2011
fDate
22-25 March 2011
Firstpage
467
Lastpage
474
Abstract
Data Mashup is a special class of mashup application that combines information on the fly from multiple data sources to respond to transient business needs. Mashing up data requires an important programming skill on the side of mashups\´ creators, and involves handling many challenging privacy and security concerns raised by data providers. This situation prevents non-expert users from mashing up data at large. In this paper, we propose a declarative approach for mashing-up data. The approach allows data mashup creators to create data mashups without any programming involved, they just need to specify "declaratively" their data needs. The approach will then build the mashups automatically while taking into account the data\´s privacy and security concerns.
Keywords
business data processing; data privacy; security of data; privacy preserving data mashup; programming skill; transient business needs; Data privacy; Mashups; Medical services; Ontologies; Resource description framework; Semantics; DaaS Web Services; Data Mashup; Privacy;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Information Networking and Applications (AINA), 2011 IEEE International Conference on
Conference_Location
Biopolis
ISSN
1550-445X
Print_ISBN
978-1-61284-313-1
Electronic_ISBN
1550-445X
Type
conf
DOI
10.1109/AINA.2011.47
Filename
5763419
Link To Document